计算机-外文翻译-英文文献-中英版--仓库管理系统(-WMS-)

合集下载

仓库管理系统英文简称

仓库管理系统英文简称

Warehouse Management System (WMS) Warehouse Management System (WMS) plays a crucial role in the efficient operation of modern supply chains. It serves as the backbone of warehouse operations by automating various processes such as receiving, storing, picking, and shipping goods. The primary goal of a WMS is to optimize inventory management, minimize stockouts, and enhance overall operational efficiency.Key Features of WMSInventory TrackingOne of the core functions of a WMS is to provide real-time visibility into inventory levels and locations. By tracking the movement of goods throughout the warehouse, WMS enables accurate inventory management and reduces the risk of stock discrepancies.Order FulfillmentWMS streamlines the order fulfillment process by optimizing picking routes, suggesting the most efficient order picking strategies, and providing tools for order consolidation and packing. This helps warehouses fulfill customer orders accurately and quickly.Warehouse Layout OptimizationWith advanced algorithms and data analysis capabilities, WMS can help optimize warehouse layout and storage strategies. By grouping fast-moving items together and locating them near the packing area, WMS reduces travel time and improves overall warehouse productivity.Integration with Other SystemsWMS is designed to seamlessly integrate with other systems such as Enterprise Resource Planning (ERP) software, Transportation Management Systems (TMS), and Order Management Systems (OMS). This ensures smooth flow of information across different departments and enhances overall supply chain visibility.Reporting and AnalysisWMS provides powerful reporting and analytics tools that offer insights into key performance indicators (KPIs) such as order fulfillment rates, inventory accuracy, and warehouse utilization. By analyzing these metrics, warehouse managers can make data-driven decisions to improve operational efficiency.Benefits of WMSImproved Inventory AccuracyBy automating inventory management processes and providing real-time visibility into inventory levels, WMS helps reduce stockouts, overstocks, and shrinkage. This leads to improved inventory accuracy and better customer service.Increased EfficiencyWMS optimizes warehouse operations by improving order picking processes, reducing travel time, and enhancing overall productivity. This results in faster order fulfillment, lower operating costs, and increased throughput.Enhanced Customer SatisfactionWith accurate inventory management and efficient order fulfillment, WMS enables warehouses to deliver orders on time and in full. This leads to improved customer satisfaction and loyalty, ultimately driving business growth.Scalability and FlexibilityWMS is highly customizable and scalable, allowing warehouses to adapt to changing business needs and scale their operations as they grow. Whether it’s adding new functionalities or integrating with new systems, WMS provides the flexibility to meet evolving warehouse requirements.ConclusionWarehouse Management System (WMS) is a critical component of modern supply chain management, providing the tools and capabilities to optimize warehouse operations, enhance inventory management, and improve overall efficiency. By leveraging the key features and benefits of WMS, warehouses can streamline their operations, improve customer service, and gain a competitive edge in today’s fast-paced business environment.In conclusion, the adoption of a Warehouse Management System (WMS) is essential for warehouses looking to improve their operational efficiency and stay ahead in the competitive market landscape. With its advanced features and benefits, WMS offers a strategic advantage to businesses seeking to optimize their warehouse operations and deliver exceptional customer service.。

WMS仓储管理系统

WMS仓储管理系统

W M S仓储管理系统LEKIBM standardization office【IBM5AB- LEKIBMK08- LEKIBM2C】WMS仓储管理系统一、什么是WMS?WMS是仓库管理系统(Warehouse Management System) 的缩写,仓库管理系统是通过入库业务、出库业务、仓库调拨、库存调拨和虚仓管理等功能,综合批次管理、物料对应、库存盘点、质检管理、虚仓管理和即时库存管理等功能综合运用的管理系统,有效控制并跟踪仓库业务的物流和成本管理全过程,实现完善的企业仓储信息管理。

该系统可以独立执行库存操作,与其他系统的单据和凭证等结合使用,可提供更为完整全面的企业业务流程和财务管理信息。

1. WMS是仓库管理系统(warehouse management2. system)的英文缩写3. WMS是综合了入库管理、出库管理、物料对应、库存盘点、虚仓管理、库存统计等诸多功能4. WMS有效控制并跟踪仓库的物流,实现完善的企业仓储信息管理5. WMS与多种硬件设备接口,实现物流产线的调度,也可以以文字、图形、语音、信号灯等多种方式提供指示信息6. WMS可以与EPR、MRP、WCS等多种软件系统对接,更好地提高企业管理的深度和广度上海朗因智能科技有限公司的WMS系统具有如下架构:二、什么是WCSWCS 是仓库控制系统(Warehouse Control System) 的缩写。

WCS是介于WMS系统和PLC系统之间的一层管理控制系统。

一方面,它与WMS系统进行信息交互,接受WMS系统的指令,并将其发送给PLC 系统,从而驱动产线产生相应机械动作。

另一方面,它将PLC系统的状态及数据实时反映在界面上,并提供对PLC系统和产线的手动调试接口。

上海朗因智能科技有限公司的WCS系统具有如下通用功能:1、实时监控•支持全局画面显示。

•支持局部放大显示。

•支持实时动态画面。

•停止状态、运行状态、故障状态、禁用状态等按不同颜色或动画显示。

计算机英文文献加翻译

计算机英文文献加翻译

Management Information System Overview Management Information System is that we often say that the MIS, is a human, computers and other information can be composed of the collection, transmission, storage, maintenance and use of the system, system, emphasizing emphasizing the the management, management, management, stressed stressed stressed that that the modern information society In the increasingly popular. MIS is a new subject, it across a number of areas, such as scientific scientific management management management and and and system system system science, science, science, operations operations operations research, research, research, statistics statistics statistics and and and computer computer science. In these subjects on the basis of formation of information-gathering and processing methods, thereby forming a vertical and horizontal weaving, and systems. The 20th century, along with the vigorous development of the global economy, many economists have proposed a new management theory. In the 1950s, Simon made dependent on information management and decision-making ideas. Wiener published the same period of the control theory, that he is a management control process. 1958, Gail wrote: "The management will lower the cost of timely and accurate information to b etter control." During better control." During this period, accounting for the beginning of the computer, data processing in the term.1970, Walter T . Kenova just to the management information system under a definition of the . Kenova just to the management information system under a definition of the term: "verbal or written form, at the right time to managers, staff and outside staff for the past, present, the projection of future Enterprise and its environment-related information 原文请找腾讯3249114六,维^论~文.网 no no application application application model, model, model, no no mention mention of of computer applications. 1985, management information systems, the founder of the University of Minnesota professor of management at the Gordon B. Davis to a management information system a more complete definition of "management information system is a computer hardware and software resources, manual operations, analysis, planning , Control and decision -making model and the database - System. System. It It provides information to to support support enterprises enterprises or or organizations organizations of of the operation, management and decision-making function. "Comprehensive definition of this Explained Explained that that that the the the goal goal goal of of of management management management information information information system, system, system, functions functions functions and and and composition, composition, composition, but but also reflects the management information system at the time of level.With the continuous improvement of science and technology, computer science increasingly mature, the computer has to be our study and work on the run along. Today, computers are already already very low price, performance, but great progress, and it was used in many areas, the very low price, performance, but great progress, and it was used in many areas, the computer computer was was was so so so popular popular popular mainly mainly mainly because because because of of of the the the following following following aspects: aspects: aspects: First, First, First, the the the computer computer computer can can substitute for many of the complex Labor. Second, the computer can greatly enhance people's work work efficiency. efficiency. efficiency. Third, Third, Third, the the the computer computer computer can can can save save save a a a lot lot lot of of of resources. resources. resources. Fourth, Fourth, Fourth, the the the computer computer computer can can make sensitive documents more secure.Computer application and popularization of economic and social life in various fields. So that the original old management methods are not suited now more and social development. Many people still remain in the previous manual. This greatly hindered the economic development of mankind. mankind. In recent years, with the University of sponsoring scale is In recent years, with the University of sponsoring scale is growing, the number of students students in in in the the the school school school also also also have have have increased, increased, increased, resulting resulting resulting in in in educational educational educational administration administration administration is is is the the growing complexity of the heavy work, to spend a lot of manpower, material resources, and the existing management of student achievement levels are not high, People have been usin g the traditional method of document management student achievement, the management there are many shortcomings, such as: low efficiency, confidentiality of the poor, and Shijianyichang, will have a large number of of documents documents documents and and data, which is is useful useful for finding, finding, updating updating and maintaining Have brought a lot of difficulties. Such a mechanism has been unable to meet the development of the times, schools have become more and more day -to-day management of a bottleneck. bottleneck. In In In the the the information information information age age age this this this traditional traditional traditional management management management methods methods methods will will will inevitably inevitably inevitably be be computer-based information management replaced. As As part part part of of of the the the computer computer computer application, application, application, the the the use use use of of of computers computers computers to to to students students students student student student performance performance information for management, with a manual management of the incomparable advantages for example: example: rapid rapid rapid retrieval, retrieval, retrieval, to to to find find find convenient, convenient, convenient, high high high reliability reliability reliability and and and large large large capacity capacity capacity storage, storage, storage, the the confidentiality confidentiality of of of good, good, good, long long long life, life, life, cost cost cost Low. Low. Low. These These These advantages advantages advantages can can can greatly greatly greatly improve improve improve student student performance management students the efficiency of enterprises is also a scientific, standardized standardized management, management, management, and and and an an an important important important condition condition condition for for for connecting connecting connecting the the the world. world. world. Therefore, Therefore, the development of such a set of management software as it is very necessary thing.Design ideas are all for the sake of users, the interface nice, clear and simple operation as far as possible, but also as a practical operating system a good fault-tolerant, the user can misuse a timely manner as possible are given a warning, so that users timely correction . T o take full advantage advantage of the of the functions of visual FoxPro, design p owerful software powerful software at the same time, as much as possible to reduce the occupiers system resources. Visual FoxPro the command structure and working methods: Visual FoxPro was originally originally called called FoxBASE, FoxBASE, the the U.S. U.S. Fox Fox Software has introduced introduced a a database products, products, in in the run on DOS, compatible with the abase family. Fox Fox Software Software Microsoft acquisition, to be developed so that it can run on Windows, and changed its name to Visual FoxPro. Visual FoxPro is a powerful relational database rapid application development tool, tool, the the the use use use of of of Visual Visual Visual FoxPro FoxPro FoxPro can can can create create create a a a desktop desktop desktop database database database applications, applications, applications, client client client / / / server server applications applications and and and Web Web Web services services services component-based component-based component-based procedures, procedures, procedures, while while while also also also can can can use use use ActiveX ActiveX controls or API function, and so on Ways to expand the functions of Visual FoxPro.1651First, work methods 1. Interactive mode of operation (1) order operation VF in the order window, through an order from the keyboard input of all kinds of ways to complete the operation order. (2) menu operation VF use menus, windows, dialog to achieve the graphical interface features an interactive operation. (3) aid operation VF in the system provides a wide range of user-friendly operation of tools, such as the wizard, design, production, etc.. 2. Procedure means of implementation VF in the implementation of the procedures is to form a group of orders and programming language, an extension to save. PRG procedures in the document, and then run through the automatic implementation of this order documents and award results are displayed. Second, the structure of command 1. Command structure 2. VF orders are usually composed of two parts: The first part is the verb order, also known as keywords, for the operation of the designated order functions; second part of the order clause, for an order that the operation targets, operating conditions and other information . VF order form are as follows: 3. <Order verb> "<order clause>" 4. Order in the format agreed symbols 5. 5. VF in the order form and function of the use of the symbol of the unity agreement, the meaning of VF in the order form and function of the use of the symbol of the unity agreement, the meaning of these symbols are as follows: 6. Than that option, angle brackets within the parameters must be based on their format input parameters. 7. That may be options, put in brackets the parameters under specific requ ests from users choose to enter its parameters. 8. Third, the project manager 9. Create a method 10. command window: CREA T PROJECT <file name> T PROJECT <file name> 11. Project Manager 12. tab 13. All - can display and project management applications of all types of docume nts, "All" tab contains five of its right of the tab in its entirety . 14. Data - management application projects in various types of data files, databases, free form, view, query documents. 15. Documentation - display 原文请找腾讯原文请找腾讯3249114六,维^论~文.网 , statements, documents, labels and other documents. 16. Category - the tab display and project management applications used in the class library documents, including VF's class library system and the user's own design of the library. 17. Code - used in the project management procedures code documents, such as: program files (. PRG), API library and the use of project management for generation of applications (. APP). 18. (2) the work area 19. The project management work area is displayed and management of all types of document window. 20. (3) order button 21. Project Manager button to the right of the order of the work area of the document window to provide command. 22. 4, project management for the use of 23. 1. Order button function 24. New - in the work area window selected certain documents, with new orders button on the new document added to the project management window. 25. Add - can be used VF "file" menu under the "new" order and the "T ools" menu under the "Wizard" order to create the various independent paper added to the project manager, unified organization with management. 26. Laws - may amend the project has been in existence in the various documents, is still to use such documents to modify the design interface. 27. Sports - in the work area window to highlight a specific document, will run the paper.28. Mobile - to check the documents removed from the project. 29. 29. Even Even Even the the the series series series - - - put put put the the the item item item in in in the the the relevant relevant relevant documents documents documents and and and even even even into into into the the the application application executable file. Database System Design :Database design is the logical database design, according to a forthcoming data classification system and the logic of division-level organizations, is user-oriented. Database design needs of various departments of the integrated enterprise archive data and data needs analysis of the relationship between the various data, in accordance with the DBMS. 管理信息系统概要管理信息系统概要管理信息系统就是我们常说的MIS (Management Information System ),是一个由人、计算机等组成的能进行信息的收集、传送、储存、维护和使用的系统,在强调管理,强调信息的现代社会中它越来越得到普及。

中英文文献翻译-仓库管理系统( WMS )

中英文文献翻译-仓库管理系统( WMS )

英文原文Warehouse Management Systems (WMS).The evolution of warehouse management systems (WMS) is very similar to that of many other software solutions. Initially a system to control movement and storage of materials within a warehouse, the role of WMS is expanding to including light manufacturing, transportation management, order management, and complete accounting systems. To use the grandfather of operations-related software, MRP, as a comparison, material requirements planning (MRP) started as a system for planning raw material requirements in a manufacturing environment. Soon MRP evolved into manufacturing resource planning (MRPII), which took the basic MRP system and added scheduling and capacity planning logic. Eventually MRPII evolved into enterprise resource planning (ERP), incorporating all the MRPII functionality with full financials and customer and vendor management functionality. Now, whether WMS evolving into a warehouse-focused ERP system is a good thing or not is up to debate. What is clear is that the expansion of the overlap in functionality between Warehouse Management Systems, Enterprise Resource Planning, Distribution Requirements Planning, Transportation Management Systems, Supply Chain Planning, Advanced Planning and Scheduling, and Manufacturing Execution Systems will only increase the level of confusion among companies looking for software solutions for their operations.Even though WMS continues to gain added functionality, the initial core functionality of a WMS has not really changed. The primary purpose of a WMS is to control the movement and storage of materials within an operation and process the associated transactions. Directed picking, directed replenishment, and directed put away are the key to WMS. The detailed setup and processing within a WMS can vary significantly from one software vendor to another, however the basic logic will use a combination of item, location, quantity, unit of measure, and order information to determine where to stock, where to pick, and in what sequence to perform these operations.Have a flexible location system.Utilize user-defined parameters to direct warehouse tasks and use liveHave some built-in level of integration with data collection devices.Do You Really Need WMS?Not every warehouse needs a WMS. Certainly any warehouse could benefit from some of the functionality but is the benefit great enough to justify the initial and ongoing costs associated with WMS? Warehouse Management Systems are big, complex, data intensive, applications. They tend to require a lot of initial setup, a lot of system resources to run, and a lot of ongoing data management to con tinue to run. That’s right, you need to "manage" your warehouse "management" system. Often times, large operations will end up creating a new IS department with the sole responsibility of managing the WMS.The Claims:WMS will reduce inventory!WMS will reduce labor costs!WMS will increase storage capacity!WMS will increase customer service!WMS will increase inventory accuracy!The Reality:The implementation of a WMS along with automated data collection will likely give you increases in accuracy, reduction in labor costs (provided the labor required to maintain the system is less than the labor saved on the warehouse floor), and a greater ability to service the customer by reducing cycle times. Expectations of inventory reduction and increased storage capacity are less likely. While increased accuracy and efficiencies in the receiving process may reduce the level of safety stock required, the impact of this reduction will likely be negligible in comparison to overall inventory levels. The predominant factors that control inventory levels are lot sizing, lead times, and demand variability. It is unlikely that a WMS will have a significant impact on any of these factors. And while a WMS certainly provides the tools for more organized storage which may result in increased storage capacity, this improvement will be relative to just how sloppy your pre-WMS processes were.Beyond labor efficiencies, the determining factors in deciding to implement a WMS tend to be more often associated with the need to do something to service your customers that your current system does not support (or does not support well) such as first-in-first-out, cross-docking, automated pick replenishment, wave picking, lot tracking, yard management, automated data collection, automated material handling equipment, etc.SetupThe setup requirements of WMS can be extensive. The characteristics of each item and location must be maintained either at the detail level or by grouping similar items and locationsinto categories. An example of item characteristics at the detail level would include exact dimensions and weight of each item in each unit of measure the item is stocked (each, cases, pallets, etc) as well as information such as whether it can be mixed with other items in a location, whether it is rack able, max stack height, max quantity per location, hazard classifications, finished goods or raw material, fast versus slow mover, etc. Although some operations will need to set up each item this way, most operations will benefit by creating groups of similar products. For example, if you are a distributor of music CDs you would create groups for single CDs, and double CDs, maintaining the detailed dimension and weight information at the group level and only needing to attach the group code to each item. You would likely need to maintain detailed information on special items such as boxed sets or CDs in special packaging. You would also create groups for the different types of locations within your warehouse. An example would be to create three different groups (P1, P2, P3) for the three different sized forward picking locations you use for your CD picking. You then set up the quantity of single CDs that will fit in a P1, P2, and P3 location, quantity of double CDs that fit in a P1, P2, P3 location etc. You would likely also be setting up case quantities, and pallet quantities of each CD group and quantities of cases and pallets per each reserve storage location group.If this sounds simple, it is…well… sort of. In reality most operations have a much more diverse product mix and will require much more system setup. And setting up the physical characteristics of the product and locations is only part of the picture. You have set up enough so that the system knows where a product can fit and how many will fit in that location. You now need to set up the information needed to let the system decide exactly which location to pick from, replenish from/to, and put away to, and in what sequence these events should occur (remember WMS is all about “directed” movement). You do this by assigni ng specific logic to the various combinations of item/order/quantity/location information that will occur.Below I have listed some of the logic used in determining actual locations and sequences.Location Sequence. This is the simplest logic; you simply define a flow through your warehouse and assign a sequence number to each location. In order picking this is used to sequence your picks to flow through the warehouse, in put away the logic would look for the first location in the sequence in which the product would fit.Zone Logic. By breaking down your storage locations into zones you can direct picking, put away, or replenishment to or from specific areas of your warehouse. Since zone logic only designates an area, you will need to combine this with some other type of logic to determine exact location within the zone.Fixed Location. Logic uses predetermined fixed locations per item in picking, put away, and replenishment. Fixed locations are most often used as the primary picking location in piece pick and case-pick operations, however, they can also be used for secondary storage.Random Location. Since computers cannot be truly random (nor would you want them to be) the term random location is a little misleading. Random locations generally refer to areas where products are not stored in designated fixed locations. Like zone logic, you will need some additional logic to determine exact locations.First-in-first-out (FIFO).Directs picking from the oldest inventory first.Last-in-first-out (LIFO).Opposite of FIFO. I didn't think there were any real applications for this logic until a visitor to my site sent an email describing their operation that distributes perishable goods domestically and overseas. They use LIFO for their overseas customers (because of longer in-transit times) and FIFO for their domestic customers.Pick-to-clear. Logic directs picking to the locations with the smallest quantities on hand. This logic is great for space utilization.Reserved Locations. This is used when you want to predetermine specific locations to put away to or pick from. An application for reserved locations would be cross-docking, where you may specify certain quantities of an inbound shipment be moved to specific outbound staging locations or directly to an awaiting outbound trailer.Maximize Cube. Cube logic is found in most WMS systems however it is seldom used. Cube logic basically uses unit dimensions to calculate cube (cubic inches per unit) and then compares this to the cube capacity of the location to determine how much will fit. Now if the units are capable of being stacked into the location in a manner that fills every cubic inch of space in the location, cube logic will work. Since this rarely happens in the real world, cube logic tends to be impractical.Consolidate. Looks to see if there is already a location with the same product stored in it with available capacity. May also create additional moves to consolidate like product stored in multiple locations.Lot Sequence. Used for picking or replenishment, this will use the lot number or lot date to determine locations to pick from or replenish from.It’s very common to combine multiple logic methods to determine the best location. For example you may chose to use pick-to-clear logic within first-in-first-out logic when there are multiple locations with the same receipt date. You also may change the logic based upon current workload. During busy periods you may chose logic that optimizes productivity while during slower periods you switch to logic that optimizes space utilization.Other Functionality/ConsiderationsWave Picking/Batch Picking/Zone Picking. Support for various picking methods varies from one system to another. In high-volume fulfillment operations, picking logic can be a critical factor in WMS selection. See my article on Order Picking for more info on these methods.Task Interleaving. Task interleaving describes functionality that mixes dissimilar tasks such as picking and put away to obtain maximum productivity. Used primarily in full-pallet-load operations, task interleaving will direct a lift truck operator to put away a pallet on his/her way to the next pick. In large warehouses this can greatly reduce travel time, not only increasing productivity, but also reducing wear on the lift trucks and saving on energy costs by reducing lift truck fuel consumption. Task interleaving is also used with cycle counting programs to coordinate a cycle count with a picking or put away task.Integration with Automated Material Handling Equipment. If you are planning on using automated material handling equipment such as carousels, ASRS units, AGNS, pick-to-light systems, or separation systems, you’ll wa nt to consider this during the software selection process. Since these types of automation are very expensive and are usually a core component of your warehouse, you may find that the equipment will drive the selection of the WMS. As with automated data collection, you should be working closely with the equipment manufacturers during the software selection process.Advanced Shipment Notifications (ASN). If your vendors are capable of sending advanced shipment notifications (preferably electronically) and attaching compliance labels to the shipments you will want to make sure that the WMS can use this to automate your receiving process. In addition, if you have requirements to provide ASNs for customers, you will also want to verify this functionality.Yard Management. Yard management describes the function of managing the contents (inventory) of trailers parked outside the warehouse, or the empty trailers themselves. Yard management is generally associated with cross docking operations and may include the management of both inbound and outbound trailers.Labor Tracking/Capacity Planning. Some WMS systems provide functionality related to labor reporting and capacity planning. Anyone that has worked in manufacturing should be familiar with this type of logic. Basically, you set up standard labor hours and machine (usually lift trucks) hours per task and set the available labor and machine hours per shift. The WMS system will use this info to determine capacity and load. Manufacturing has been using capacity planning for decades with mixed results. The need to factor in efficiency and utilization to determine rated capacity is an example of the shortcomings of this process. Not that I’m necessarily against capacity planning in warehousing, I just think most operations don’t really need it and can avoid the disappointment of trying to make it work. I am, however, a bigadvocate of labor tracking for individual productivity measurement. Most WMS maintain enough data to create productivity reporting. Since productivity is measured differently from one operation to another you can assume you will have to do some minor modifications here (usually in the form of custom reporting).Integration with existing accounting/ERP systems. Unless the WMS vendor has already created a specific interface with your accounting/ERP system (such as those provided by an approved business partner) you can expect to spend some significant programming dollars here. While we are all hoping that integration issues will be magically resolved someday by a standardized interface, we isn’t there yet. Ideally you’ll want an integrator that has already integrated the WMS you chose with the business software you are using. Since this is not always possible you at least want an integrator that is very familiar with one of the systems.WMS + everything else = ? As I mentioned at the beginning of this article, a lot of other modules are being added to WMS packages. These would include full financials, light manufacturing, transportation management, purchasing, and sales order management. I don’t see this as a unilateral move of WMS from an add-on module to a core system, but rather an optional approach that has applications in specific industries such as 3PLs. Using ERP systems as a point of reference, it is unlikely that this add-on functionality will match the functionality ofbest-of-breed applications available separately. If warehousing/distribution is your core business function and you don’t want to have to deal with the integration issues of incorporating separate financials, order processing, etc. you may find these WMS based business systems are a good fit.Implementation TipsOutside of the standard “don’t underestimate”, “thoroughly test”, “train, train, train” implementation tips that apply to any business software installation ,it’s important to emphasize that WMS are very data dependent and restrictive by design. That is, you need to have all of the various data elements in place for the system to function properly. And, when they are in place, you must operate within the set parameters.When implementing a WMS, you are adding an additional layer of technology onto your system. And with each layer of technology there is additional overhead and additional sources of potential problems. Now don’t take this as a condemnation of Warehouse Management Systems. Coming from a warehousing background I definitely appreciate the functionality WMS have to offer, and, in many warehouses, this functionality is essential to their ability to serve their customers and remain competitive. It’s just important to note that every solution has its downsides and having a good understanding of the potential implications will allow managers to make better decisions related to the levels of technology that best suits their unique environment.中文译文仓库管理系统( WMS )仓库管理系统( WMS )的演变与许多其他软件解决方案是很像的。

【计算机专业文献翻译】仓库操作

【计算机专业文献翻译】仓库操作

题目Ⅱ:英文名:Warehouse Operations中文名:仓库操作来源:Winograd T., Fore F., Business Logistics, Oliver Wight Publication, 2005Warehouse OperationsOnce a warehouse mission is determined, managerial attention focuses on establishing the operation. A typical warehouse contains materials, parts, and finished goods on the move. Warehouse operations consist of break-bulk, storage, and assembly procedures. The objective is to efficiently receive inventory, possibly store it until required by the market, assemble it into complete orders, and initiate movement to customer. This emphasis on product flow renders a modern warehouse as a mixing facility. As such, a great deal of managerial attention concerns how to perform storage to facilitate efficient materials handling.HandlingThe first consideration focuses on movement continuity and scale economies throughout the warehouse. Movement continuity means that it is better for a material handler with a piece of handling equipment to perform longer moves than to undertake a number of short handlings to accomplish the same overall move. Exchanging the product between handlers or moving it from one piece of equipment to another wastes time and increases the potential for product damage. Thus, as a general rule, longer warehouse movements are preferred. Goods, once in motion, should be continuously moved until arrival at their final destination.Scale economies justify moving the largest quantities or loads possible. Instead of moving individual cases, handling procedures should be designed to move cases grouped on pallets, slip-sheets, or containers. The overall objective of materials handling is to eventually sort inbound shipments into unique customer assortments. The three primary handling activities are receiving, in-storage handling, and shipping.ReceivingMerchandise and materials typically arrive at warehouses in large quantity shipments. The first handling activity is unloading. At most warehouses, unloading are performed mechanically, using a combination of a lift truck and manual processes. When freight is floor stacked on the transport vehicle, the typical procedure is to manually place products on pallets or to use a conveyor. When inbound product has been unitized on pallets or containers, lift trucks can be used to facilitate receiving. A primary benefit of receiving unitized loads is the ability to turn inbound transportation equipment more rapidly. Receiving is usually the unloading of a relatively high volume of similar product.In-Storage HandlingIn-storage handling consists of movements within the warehouse. Following receipt and movement to a staging location, product must be moved within the facility for storage or order selection. Finally, when an order is processed it is necessary to select the required products and move them to a shipping area. These two types of in-storage handling are typically referred to as transfer and selection.There are at least two and sometimes three transfer movements in a typical warehouse. The merchandise is initially moved from the receiving area to a storage location. This movement is typically handled by a lift truck when pallets or slip sheets are used or by other mechanical means for other types of unit loads. A second internal movement may be required prior to order assembly depending upon warehouse operating procedures. When unit loads have to be broken down for order selection, they are usually transferred from storage to an order selection or picking area. When products are large or bulky, such as appliances, this intermediate movement to a picking area may not be necessary. Such product is often selected from the storage area and moved directly to the shipping staging area. The shipping staging area is the area adjacent to the shipping dock. In order selection warehouses, the assembled customer order is transferred from the selection area to the shipping staging area. Characteristically, in-storage handling involves lower volume movements than receiving but still relatively similar products.Order selection is one of the major activities within warehouses. The selection process requires that materials, parts, and products be grouped to facilitate order assembly. It is typical for one area of a warehouse to be designated as a selection or picking area to assemble orders. For each order, the combination of products must be selected and packaged to meet specific customer order requirements. The typical selection process is coordinated by a warehouse management system.ShippingShipping consists of order verification and transportation equipment loading. Similar to receiving, firms may use conveyors or unit load materials handling equipment such as lift trucks to move products from the staging area into the transportation vehicle. Relative to receiving, warehouse shipping must accommodate relatively low-volume movements of a mixture of product, thus reducing the potential for economies of sale. Shipping unit loads is becoming increasingly popular because considerable time can be saved in vehicle loading. A unit load consists of unitized or palletized product. To facilitate this loading and subsequent unloading upon delivery, many customers are requesting that suppliers provide mixed combinations of product within a unit. The alternative is to floor stack cases in the transportation vehicle. Shipment content verification is typically required when product changes ownership. Verification may be limited to a simple carton count or a piece-by-piece check for proper brand, size, and in some cases serial number to assure shipment accuracy.StorageThe second consideration is that warehouse utilization should position products based upon individual characteristics. The most important product variables to consider in a storage plan are product volume, weight, and storage requirements.Product volume or velocity is the major factor driving warehouse layout. High-volume product should be positioned in the warehouse to minimize movementdistance. For example, high-velocity products should be positioned near doors, primary aisles, and at lower levels in storage racks. Such positioning minimizes warehouse handling and reduces the need for frequent lifting. Conversely, products with low volume should be assigned locations more distant from primary aisles or higher up in storage racks.Active StorageRegardless of inventory velocity, most goods must be stored for at least a short time. Storage for basic inventory replenishment is referred to as active storage. Active storage must provide sufficient inventory to meet the periodic demands of the service area. The need for active storage is usually related to the capability to achieve transportation or handling economies of scale. For active storage, materials handling processes and technologies need to focus on quick movement and flexibility with relatively minimal consideration for extended and dense storage.The active storage concept includes flow-through distribution, which uses warehouses for consolidation and assortment while maintaining minimal or no inventory storage. The resulting need for reduced inventory favors flow-through and cross docking techniques that emphasize movement and de-emphasize storage. Flow-through distribution is most appropriate for high-volume, fast-moving products where quantities are reasonably predictable. While flow-through distribution places minimal demands on storage requirements, it does require that product be quickly unloaded, de-unitized, grouped and sequenced into customer assortments, and reload into transportation equipment. As a result, the materials handling emphasis is to accurate information-directed quick movement.Extended StorageExtended storage, a somewhat misleading term, refers to inventory in excess of that required for normal replenishment of customer stocks. In some special situation, storage may be required for several months prior to customer shipment. Extended storage uses materials handling processes and technologies that focus on maximum space utilization with minimal need for quick access.A warehouse may be used for extended storage for several other reasons. Some products, such as seasonal items, require storage to await demand or to spread supply across time. Other reasons for extended storage include erratic demand items, product conditioning, speculative purchases, and discounts.Product conditioning sometimes requires extended storage, such as to ripen bananas. Food warehouses typically have ripening rooms to hold products until they reach peak quality. Storage may also be necessary for extended quality checks.Warehouses may also store goods on an extended basis when goods are purchased on a speculative basis. The magnitude of speculative buying depends upon the specific materials and industries involved, but it is very common in marketing of commodities and seasonal items. For example, if a price increase for an item isexpected, it is not uncommon for a firm to buy ahead at the current price and warehouse the product for later use. In this case, the discount or savings has to be traded off against extended storage and inventory carrying cost. Commodities such as grains, oil, and cardboard are often stored for speculative reasons.The warehouse may also be used to realize special discounts. Early purchase discounts may justify extended storage. The purchasing manager may be able to realize a substantial price reduction during a specific period of the year. Under such conditions the warehouse is expected to hold inventory in excess of active storage. Manufacturers of fertilizer, toys, and lawn furniture often attempt to shift the warehousing burden to customers by offering off-season warehouse storage allowances.Initiating Warehouse OperationsThe development of work procedures goes hand in hand with training warehouse personnel. Most firms implement a WMS (warehouse management system) to standardize work procedure and encourage best practice. It is management's responsibility to see that all personnel understand and use these procedures.In a mechanized warehouse, approximately 65 percent of personnel are employed in some facet of order selection. The two basic methods of order picking are individual and area selection, also known as batch selection. Using individual selection, one employee completes a customer's total order. This system is not widely used. Its primary application occurs when a large number of small orders is selected for repack or consolidated shipment, such as e-commerce fulfillment. Under the more commonly used area selection system each employee is assigned responsibility for a specific portion of the warehouse. To complete a customer's order, several different selectors are required. Because each employee has a thorough knowledge of a specific selection area, less time is required to locate items.Work procedures are also important for receiving and shipping. Established procedures for receiving and ensuring product entry into inventory records are critical. If pallets are used, the merchandise must be stacked in appropriate patterns to ensure maximum load stability and consistent case counts. Personnel working in shipping must have knowledge of trailer loading practices. In specific types of operations, particularly when merchandise changes ownership, items must be checked during loading.Work procedures are not restricted to floor personnel. Procedures must be established for administration and maintenance. Replenishment of warehouse inventory can cause operational problems if proper ordering procedures are lacking. Normally, there is limited interaction between buyers and warehouse personnel although such communication is improving with integrated supply chain management organizations. Buyers tend to purchase in quantities that afford the best price, and little attention is given to pallet compatible quantities or available warehouse space.Ideally buyers should coordinate with warehouse personnel before commissioning large orders or introducing new products. The experience of some companies has forced management to require buyers to predetermine warehouse space assignment prior to ordering. Another potential problem is the quantity of cases ordered. The goal is to purchase in pallet-multiple quantities. For example, if a product is ideally stacked on pallets in a 50-case pattern, the buyer should order in multiples of 50. If an order is placed for 120 cases, upon arrival the cases will fill two pallets plus 20 on a third pallet. The extra 20 cases will require the warehouse cubic space typically used for a pallet of 50 and will require the same amount of materials handling capacity to move.SecurityIn a broad sense, security in a warehouse involves protection against merchandise pilferage and deterioration. Each form of security requires management attention.Pilferage ProtectionIn warehouse operations it is necessary to protect against theft by employees and thieves as well as from riots and civil disturbances. Typical security procedures used throughout a business should be strictly enforced at each warehouse. Security begins at the fence. As standard procedure, only authorized personnel should be permitted into the facility and surrounding grounds. Entry to the warehouse yard should be controlled through a single gate. Without exception, no private automobile, regardless of management rank for customer status, should be allowed to enter the yard or park adjacent to the warehouse.To illustrate the importance of security guidelines, the following experience may be helpful. A firm adopted the rule that no private vehicles would be permitted in the warehouse yard. Exceptions were made for two office employees with special needs. One night after work, one of these employees discovered a bundle taped under one tender of his car. Subsequent checking revealed that the car was literally a loaded delivery truck. The matter was promptly reported to security, who informed the employee not to alter any packages taped to the car and to continue parking inside the yard. Over the next several days, the situation was fully uncovered, with the ultimate arrest and conviction of seven warehouse employees who confessed to stealing thousands of dollars worth of company merchandise. The firm would have been far better off had it provided transportation for the two special-needs employees from the regular parking lots to their work locations.Shortages are always a major concern in warehouse operations. Many are honest mistakes that occur during order selection and shipment, but the purpose of security is to restrict theft from all angles. The majority of thefts occur during normal working hours.Inventory control and order processing systems help protect merchandise from being carried out of the warehouse unless accompanied by a computer release document. If samples are authorized for salesperson use, such merchandise should be maintained in a separate inventory. Not all pilferage occurs on an individual basis. Organized efforts between warehouse personnel and carrier truck drivers can result in deliberate over picking, or high-for-low-value product substitution occurring in order to move unauthorized merchandise out of the warehouse. Employee work assignment rotation total case counts and occasional complete line-item checks can reduce vulnerability to such collaboration.A final concern is the increased incidence of hijacking over-the-road trailer loads from yards or while in transit. Hijacking is a major logistical concern. Over-the-road hijack prevention is primarily a law-enforcement matter, but in-yard theft can be eliminated by tight security provisions. Such over-the-road theft is a significant problem in developing countries. One beverage company manager reported that he budgeted to lose one truck a week due to theft for his South American operation. He instructed his drivers to simply turn over the keys and walk away rather than risk their life.Product DeteriorationWithin warehouse, a number of factors can reduce a product or material to nonmalleable status. The most obvious form of product deterioration is damage from careless materials handling. For example, when pallets of merchandise are stacked in great heights, a marked change in humidity or temperature can cause packages supporting the stack to collapse. The warehouse environment must be carefully controlled and measured to provide proper product protection. Of major concern is warehouse employee carelessness. In this respect, the lift truck may well be management's worst enemy. Regardless of how often lift truck operators are warned against carrying overloads, some still attempt such shortcuts when not properly supervised. In one situation a stack of four pallets was dropped off a lift truck at the receiving dock of a food warehouse. Standard procedure was to move two pallets per load. The dollar cost of the damaged merchandise exceeded the average daily profit of two retail supermarkets. Product deterioration from careless handling within the warehouse is a form of loss that cannot be insured against or offset with compensating revenue.Another major form of deterioration is incompatibility of products stored or transported together. For example, care must be taken when storing or shipping chocolate to make sure that it doesn't absorb odors from products it is being transported with such as household chemicals.DeliveryMost shipments from distribution warehouses to customers are completed by truck. When private trucking is utilized, a managerial concern is to scheduleshipments to achieve efficient transportation. Computer-assisted load planning and equipment routing techniques are very useful for organizing transportation requirements.Safety and MaintenanceAccident prevention is a concern of warehouse management. A comprehensive safety program requires constant examination of work procedures and equipment to locate and take corrective action to eliminate unsafe conditions before accidents result. Accidents occur when workers become careless or are exposed to mechanical or physical hazards. The floors of a warehouse may cause accidents if not properly cleaned. During normal operation, rubber and glass deposits collect on aisles and, from time to time broken cases will result in product seepage onto the floor. Proper cleaning procedures can reduce the accident risk of such hazards. Environmental safety has become a major concern of government.A preventive maintenance program is necessary for materials handling equipment. Unlike production machines, movement equipment is not stationary, so it is more difficult to properly maintain. A preventive maintenance program scheduling periodic checks of all handling equipment should be applied in every warehouse.仓库操作一旦一项仓库任务被确定,管理的注意力就集中在实施运营上。

计算机专业外文翻译+原文-数据库管理系统介绍

计算机专业外文翻译+原文-数据库管理系统介绍

外文资料Database Management SystemsA database (sometimes spelled data base) is also called an electronic database , referring to any collection of data, or information, that is specially organized for rapid search and retrieval by a computer. Databases are structured to facilitate the storage, retrieval , modification, and deletion of data in conjunction with various data-processing operations .Databases can be stored on magnetic disk or tape, optical disk, or some other secondary storage device.A database consists of a file or a set of files. The information in these files may be broken down into records, each of which consists of one or more fields. Fields are the basic units of data storage , and each field typically contains information pertaining to one aspect or attribute of the entity described by the database . Using keywords and various sorting commands, users can rapidly search , rearrange, group, and select the fields in many records to retrieve or create reports on particular aggregate of data.Complex data relationships and linkages may be found in all but the simplest databases .The system software package that handles the difficult tasks associated with creating ,accessing, and maintaining database records is called a database management system(DBMS).The programs in a DBMS package establish an interface between the database itself and the users of the database.. (These users may be applications programmers, managers and others with information needs, and various OS programs.)A DBMS can organize, process, and present selected data elements form the database. This capability enables decision makers to search, probe, and query database contents in order to extract answers to nonrecurring and unplanned questions that aren’t available in regular reports. These questions might initially be vague and/or poorly defined ,but people can “browse”through the database until they have the needed information. In short, the DBMS will “manage” the stored data items and assemble the needed itemsfrom the common database in response to the queries of those who aren’t programmers.A database management system (DBMS) is composed of three major parts:(1)a storage subsystem that stores and retrieves data in files;(2) a modeling and manipulation subsystem that provides the means with which to organize the data and to add , delete, maintain, and update the data;(3)and an interface between the DBMS and its users. Several major trends are emerging that enhance the value and usefulness of database management systems;Managers: who require more up-to-data information to make effective decisionCustomers: who demand increasingly sophisticated information services and more current information about the status of their orders, invoices, and accounts.Users: who find that they can develop custom applications with database systems in a fraction of the time it takes to use traditional programming languages.Organizations : that discover information has a strategic value; they utilize their database systems to gain an edge over their competitors.The Database ModelA data model describes a way to structure and manipulate the data in a database. The structural part of the model specifies how data should be represented(such as tree, tables, and so on ).The manipulative part of the model specifies the operation with which to add, delete, display, maintain, print, search, select, sort and update the data.Hierarchical ModelThe first database management systems used a hierarchical model-that is-they arranged records into a tree structure. Some records are root records and all others have unique parent records. The structure of the tree is designed to reflect the order in which the data will be used that is ,the record at the root of a tree will be accessed first, then records one level below the root ,and so on.The hierarchical model was developed because hierarchical relationships are commonly found in business applications. As you have known, an organization char often describes a hierarchical relationship: topmanagement is at the highest level, middle management at lower levels, and operational employees at the lowest levels. Note that within a strict hierarchy, each level of management may have many employees or levels of employees beneath it, but each employee has only one manager. Hierarchical data are characterized by this one-to-many relationship among data.In the hierarchical approach, each relationship must be explicitly defined when the database is created. Each record in a hierarchical database can contain only one key field and only one relationship is allowed between any two fields. This can create a problem because data do not always conform to such a strict hierarchy.Relational ModelA major breakthrough in database research occurred in 1970 when E.F. Codd proposed a fundamentally different approach to database management called relational model ,which uses a table as its data structure.The relational database is the most widely used database structure. Data is organized into related tables. Each table is made up of rows called and columns called fields. Each record contains fields of data about some specific item. For example, in a table containing information on employees, a record would contain fields of data such as a person’s last name ,first name ,and street address.Structured query language(SQL)is a query language for manipulating data in a relational database .It is nonprocedural or declarative, in which the user need only specify an English-like description that specifies the operation and the described record or combination of records. A query optimizer translates the description into a procedure to perform the database manipulation.Network ModelThe network model creates relationships among data through a linked-list structure in which subordinate records can be linked to more than one parent record. This approach combines records with links, which are called pointers. The pointers are addresses that indicate the location of a record. With the network approach, a subordinate record can be linked to a key record and at the same time itself be a key record linked to other sets of subordinate records. The network mode historically has had a performanceadvantage over other database models. Today , such performance characteristics are only important in high-volume ,high-speed transaction processing such as automatic teller machine networks or airline reservation system.Both hierarchical and network databases are application specific. If a new application is developed ,maintaining the consistency of databases in different applications can be very difficult. For example, suppose a new pension application is developed .The data are the same, but a new database must be created.Object ModelThe newest approach to database management uses an object model , in which records are represented by entities called objects that can both store data and provide methods or procedures to perform specific tasks.The query language used for the object model is the same object-oriented programming language used to develop the database application .This can create problems because there is no simple , uniform query language such as SQL . The object model is relatively new, and only a few examples of object-oriented database exist. It has attracted attention because developers who choose an object-oriented programming language want a database based on an object-oriented model.Distributed DatabaseSimilarly , a distributed database is one in which different parts of the database reside on physically separated computers . One goal of distributed databases is the access of information without regard to where the data might be stored. Keeping in mind that once the users and their data are separated , the communication and networking concepts come into play .Distributed databases require software that resides partially in the larger computer. This software bridges the gap between personal and large computers and resolves the problems of incompatible data formats. Ideally, it would make the mainframe databases appear to be large libraries of information, with most of the processing accomplished on the personal computer.A drawback to some distributed systems is that they are often based on what is called a mainframe-entire model , in which the larger host computeris seen as the master and the terminal or personal computer is seen as a slave. There are some advantages to this approach . With databases under centralized control , many of the problems of data integrity that we mentioned earlier are solved . But today’s personal computers, departmental computers, and distributed processing require computers and their applications to communicate with each other on a more equal or peer-to-peer basis. In a database, the client/server model provides the framework for distributing databases.One way to take advantage of many connected computers running database applications is to distribute the application into cooperating parts that are independent of one anther. A client is an end user or computer program that requests resources across a network. A server is a computer running software that fulfills those requests across a network . When the resources are data in a database ,the client/server model provides the framework for distributing database.A file serve is software that provides access to files across a network. A dedicated file server is a single computer dedicated to being a file server. This is useful ,for example ,if the files are large and require fast access .In such cases, a minicomputer or mainframe would be used as a file server. A distributed file server spreads the files around on individual computers instead of placing them on one dedicated computer.Advantages of the latter server include the ability to store and retrieve files on other computers and the elimination of duplicate files on each computer. A major disadvantage , however, is that individual read/write requests are being moved across the network and problems can arise when updating files. Suppose a user requests a record from a file and changes it while another user requests the same record and changes it too. The solution to this problems called record locking, which means that the first request makes others requests wait until the first request is satisfied . Other users may be able to read the record, but they will not be able to change it .A database server is software that services requests to a database across a network. For example, suppose a user types in a query for data on his or her personal computer . If the application is designed with the client/server model in mind ,the query language part on the personal computer simplesends the query across the network to the database server and requests to be notified when the data are found.Examples of distributed database systems can be found in the engineering world. Sun’s Network Filing System(NFS),for example, is used in computer-aided engineering applications to distribute data among the hard disks in a network of Sun workstation.Distributing databases is an evolutionary step because it is logical that data should exist at the location where they are being used . Departmental computers within a large corporation ,for example, should have data reside locally , yet those data should be accessible by authorized corporate management when they want to consolidate departmental data . DBMS software will protect the security and integrity of the database , and the distributed database will appear to its users as no different from the non-distributed database .In this information age, the data server has become the heart of a company. This one piece of software controls the rhythm of most organizations and is used to pump information lifeblood through the arteries of the network. Because of the critical nature of this application, the data server is also the one of the most popular targets for hackers. If a hacker owns this application, he can cause the company's "heart" to suffer a fatal arrest.Ironically, although most users are now aware of hackers, they still do not realize how susceptible their database servers are to hack attacks. Thus, this article presents a description of the primary methods of attacking database servers (also known as SQL servers) and shows you how to protect yourself from these attacks.You should note this information is not new. Many technical white papers go into great detail about how to perform SQL attacks, and numerous vulnerabilities have been posted to security lists that describe exactly how certain database applications can be exploited. This article was written for the curious non-SQL experts who do not care to know the details, and as a review to those who do use SQL regularly.What Is a SQL Server?A database application is a program that provides clients with access todata. There are many variations of this type of application, ranging from the expensive enterprise-level Microsoft SQL Server to the free and open source mySQL. Regardless of the flavor, most database server applications have several things in common.First, database applications use the same general programming language known as SQL, or Structured Query Language. This language, also known as a fourth-level language due to its simplistic syntax, is at the core of how a client communicates its requests to the server. Using SQL in its simplest form, a programmer can select, add, update, and delete information in a database. However, SQL can also be used to create and design entire databases, perform various functions on the returned information, and even execute other programs.To illustrate how SQL can be used, the following is an example of a simple standard SQL query and a more powerful SQL query:Simple: "Select * from dbFurniture.tblChair"This returns all information in the table tblChair from the database dbFurniture.Complex: "EXEC master..xp_cmdshell 'dir c:\'"This short SQL command returns to the client the list of files and folders under the c:\ directory of the SQL server. Note that this example uses an extended stored procedure that is exclusive to MS SQL Server.The second function that database server applications share is that they all require some form of authenticated connection between client and host. Although the SQL language is fairly easy to use, at least in its basic form, any client that wants to perform queries must first provide some form of credentials that will authorize the client; the client also must define the format of the request and response.This connection is defined by several attributes, depending on the relative location of the client and what operating systems are in use. We could spend a whole article discussing various technologies such as DSN connections, DSN-less connections, RDO, ADO, and more, but these subjects are outside the scope of this article. If you want to learn more about them, a little Google'ing will provide you with more than enough information. However, the following is a list of the more common itemsincluded in a connection request.Database sourceRequest typeDatabaseUser IDPasswordBefore any connection can be made, the client must define what type of database server it is connecting to. This is handled by a software component that provides the client with the instructions needed to create the request in the correct format. In addition to the type of database, the request type can be used to further define how the client's request will be handled by the server. Next comes the database name and finally the authentication information.All the connection information is important, but by far the weakest link is the authentication information—or lack thereof. In a properly managed server, each database has its own users with specifically designated permissions that control what type of activity they can perform. For example, a user account would be set up as read only for applications that need to only access information. Another account should be used for inserts or updates, and maybe even a third account would be used for deletes. This type of account control ensures that any compromised account is limited in functionality. Unfortunately, many database programs are set up with null or easy passwords, which leads to successful hack attacks.译文数据库管理系统介绍数据库(database,有时拼作data base)又称为电子数据库,是专门组织起来的一组数据或信息,其目的是为了便于计算机快速查询及检索。

计算机外文翻译英文文献中英版仓库管理系统(WMS)

计算机外文翻译英文文献中英版仓库管理系统(WMS)

Warehouse Management Systems (WMS).The evolution of warehouse management systems (WMS) is very similar to that of many other software solutions. Initially a system to control movement and storage of materials within a warehouse, the role of WMS is expanding to including light manufacturing, transportation management, order management, and complete accounting systems. To use the grandfather of operations-related software, MRP, as a comparison, material requirements planning (MRP) started as a system for planning raw material requirements in a manufacturing environment. Soon MRP evolved into manufacturing resource planning (MRPII), which took the basic MRP system and added scheduling and capacity planning logic. Eventually MRPII evolved into enterprise resource planning (ERP), incorporating all the MRPII functionality with full financials and customer and vendor management functionality. Now, whether WMS evolving into a warehouse-focused ERP system is a good thing or not is up to debate. What is clear is that the expansion of the overlap in functionality between Warehouse Management Systems, Enterprise Resource Planning, Distribution Requirements Planning, Transportation Management Systems, Supply Chain Planning, Advanced Planning and Scheduling, and Manufacturing Execution Systems will only increase the level of confusion among companies looking for software solutions for their operations.Even though WMS continues to gain added functionality, the initial core functionality of a WMS has not really changed. The primary purpose of a WMS is to control the movement and storage of materials within an operation and process the associated transactions. Directed picking, directed replenishment, and directed putaway are the key to WMS. The detailed setup and processing within a WMS can vary significantly from one software vendor to another, however the basic logic will use a combination of item, location, quantity, unit of measure, and order information to determine where to stock, where to pick, and in what sequence to perform these operations.Do You Really Need WMS?Not every warehouse needs a WMS. Certainly any warehouse could benefit from some of the functionality but is the benefit great enough to justify the initial and ongoing costs associated with WMS? Warehouse Management Systems are big, complex, data intensive, applications. They tend to require a lot of initial setup, a lot of system resources to run, and a lot of ongoing data management to continue to run. That’s right, you need to "manage" your warehouse "management" system. Often times, large operations will end up creating a new IS department with the sole responsibility of managing the WMS.The Claims:WMS will reduce inventory!WMS will reduce labor costs!WMS will increase storage capacity!WMS will increase customer service!WMS will increase !The Reality:The implementation of a WMS along with automated data collection will likely give you increases in accuracy, reduction in labor costs (provided the labor required to maintain the system is less than the labor saved on the warehouse floor), and a greater ability to service the customer by reducing cycle times. Expectations of inventory reduction and increased storage capacity are less likely. While increased accuracy and efficiencies in the receiving process may reduce the level of required, the impact of this reduction will likely be negligible in comparison to overall inventory levels. The predominant factors that control inventory levels are , lead times, and demand variability. It is unlikely that a WMS will have a significant impact on any of these factors. And while a WMS certainly provides the tools for more organized storage which may result in increased storage capacity, this improvement will be relative to just how sloppy your pre-WMS processes were.Beyond labor efficiencies, the determining factors in deciding to implement a WMS tend to be more often associated with the need to do something to service your customers that your current system does not support (or does not support well) such asfirst-in-first-out, cross-docking, automated pick replenishment, wave picking, lot tracking, yard management, automated data collection, automated material handling equipment, etc.SetupThe setup requirements of WMS can be extensive. The characteristics of each item and location must be maintained either at the detail level or by grouping similar items and locations into categories. An example of item characteristics at the detail level would include exact dimensions and weight of each item in each unit of measure the item is stocked (each, cases, pallets, etc) as well as information such as whether it can be mixed with other items in a location, whether it is rack able, max stack height, max quantity per location, hazard classifications, finished goods or raw material, fast versus slow mover, etc. Although some operations will need to set up each item this way, most operations will benefit by creating groups of similar products. For example, if you are a distributor of music CDs you would create groups for single CDs, and double CDs, maintaining the detailed dimension and weight information at the group level and only needing to attach the group code to each item. You would likely need to maintain detailed information on special items such as boxed sets or CDs in special packaging. You would also create groups for the different types of locations within your warehouse. An example would be to create three different groups (P1, P2, P3) for the three different sized forward picking locations you use for your CD picking. You then set up the quantity of single CDs that will fit in a P1, P2, and P3 location, quantity of double CDsthat fit in a P1, P2, P3 location etc. You would likely also be setting up case quantities, and pallet quantities of each CD group and quantities of cases and pallets per each reserve storage location group.If this sounds simple, it is…well… sort of. In reality most operations have a much more diverse product mix and will require much more system setup. And setting up the physical characteristics of the product and locations is only part of the picture. You have set up enough so that the system knows where a product can fit and how many will fit in that location. You now need to set up the information needed to let the system decide exactly which location to pick from, replenish from/to, and put away to, and in what sequence these events should occur (remember WMS is all about “directed” movement). You do this by assigning specific logic to the various combinations of item/order/quantity/location information that will occur.Below I have listed some of the logic used in determining actual locations and sequences.Location Sequence. This is the simplest logic; you simply define a flow through your warehouse and assign a sequence number to each location. In order picking this is used to sequence your picks to flow through the warehouse, in put away the logic would look for the first location in the sequence in which the product would fit.Zone Logic. By breaking down your storage locations into zones you can direct picking, put away, or replenishment to or from specific areas of your warehouse. Since zone logic only designates an area, you will need to combine this with some other type oflogic to determine exact location within the zone.Fixed Location. Logic uses predetermined fixed locations per item in picking, put away, and replenishment. Fixed locations are most often used as the primary picking location in piece pick and case-pick operations, however, they can also be used for secondary storage.Random Location. Since computers cannot be truly random (nor would you want them to be) the term random location is a little misleading. Random locations generally refer to areas where products are not stored in designated fixed locations. Like zone logic, you will need some additional logic to determine exact locations.First-in-first-out (FIFO).Directs picking from the oldest inventory first.Last-in-first-out (LIFO).Opposite of FIFO. I didn't think there were any real applications for this logic until a visitor to my site sent an email describing their operation that distributes perishable goods domestically and overseas. They use LIFO for their overseas customers (because of longer in-transit times) and FIFO for their domestic customers.Pick-to-clear. Logic directs picking to the locations with the smallest quantities on hand. This logic is great for space utilization.Reserved Locations. This is used when you want to predetermine specific locations to put away to or pick from. An application for reserved locations would be cross-docking, where you may specify certain quantities of an inbound shipment be moved to specific outbound staging locations or directly to an awaiting outbound trailer.Maximize Cube. Cube logic is found in most WMS systems however it is seldom used. Cube logic basically uses unit dimensions to calculate cube (cubic inches per unit) and then compares this to the cube capacity of the location to determine how much will fit. Now if the units are capable of being stacked into the location in a manner that fills every cubic inch of space in the location, cube logic will work. Since this rarely happens in the real world, cube logic tends to be impractical.Consolidate. Looks to see if there is already a location with the same product stored in it with available capacity. May also create additional moves to consolidate like product stored in multiple locations.Lot Sequence. Used for picking or replenishment, this will use the lot number or lot date to determine locations to pick from or replenish from.It’s very common to combine multiple logic methods to determine the best location. For example you may chose to use pick-to-clear logic within first-in-first-out logic when there are multiple locations with the same receipt date. You also may change the logic based upon current workload. During busy periods you may chose logic that optimizes productivity while during slower periods you switch to logic that optimizes space utilization.Other Functionality/ConsiderationsWave Picking/Batch Picking/Zone Picking. Support for various picking methods varies from one system to another. In high-volume fulfillment operations, picking logiccan be a critical factor in WMS selection. See my article on for more info on these methods.Task Interleaving. Task interleaving describes functionality that mixes dissimilar tasks such as picking and put away to obtain maximum productivity. Used primarily in full-pallet-load operations, task interleaving will direct a lift truck operator to put away a pallet on his/her way to the next pick. In large warehouses this can greatly reduce travel time, not only increasing productivity, but also reducing wear on the lift trucks and saving on energy costs by reducing lift truck fuel consumption. Task interleaving is also used with cycle counting programs to coordinate a cycle count with a picking or put away task.Integration with Automated Material Handling Equipment. If you are planning on using automated material handling equipment such as carousels, ASRS units, AGNS, pick-to-light systems, or separation systems, you’ll want to consider this during the software selection process. Since these types of automation are very expensive and are usually a core component of your warehouse, you may find that the equipment will drive the selection of the WMS. As with automated data collection, you should be working closely with the equipment manufacturers during the software selection process.Advanced Shipment Notifications (ASN). If your vendors are capable of sending advanced shipment notifications (preferably electronically) and attaching compliance labels to the shipments you will want to make sure that the WMS can use this toautomate your receiving process. In addition, if you have requirements to provide ASNs for customers, you will also want to verify this functionality.Yard Management. Yard management describes the function of managing the contents (inventory) of trailers parked outside the warehouse, or the empty trailers themselves. Yard management is generally associated with cross docking operations and may include the management of both inbound and outbound trailers.Labor Tracking/Capacity Planning. Some WMS systems provide functionality related to labor reporting and capacity planning. Anyone that has worked in manufacturing should be familiar with this type of logic. Basically, you set up standard labor hours and machine (usually lift trucks) hours per task and set the available labor and machine hours per shift. The WMS system will use this info to determine capacity and load. Manufacturing has been using capacity planning for decades with mixed results. The need to factor in efficiency and utilization to determine rated capacity is an example of the shortcomings of this process. Not that I’m necessarily against capacity planning in warehousing, I just think most operations don’t really need it and can avoid the disappointment of trying to make it work. I am, however, a big advocate of labor tracking for individual productivity measurement. Most WMS maintain enough data to create productivity reporting. Since productivity is measured differently from one operation to another you can assume you will have to do some minor modifications here (usually in the form of ).Integration with existing accounting/ERP systems. Unless the WMS vendor has already created a specific interface with your accounting/ERP system (such as those provided by an approved business partner) you can expect to spend some significant programming dollars here. While we are all hoping that integration issues will be magically resolved someday by a standardized interface, we isn’t there yet. Ideally you’ll want an integrator that has already integrated the WMS you chose with the business software you are using. Since this is not always possible you at least want an integrator that is very familiar with one of the systems.WMS + everything else = ? As I mentioned at the beginning of this article, a lot of other modules are being added to WMS packages. These would include full financials, light manufacturing, transportation management, purchasing, and sales order management. I don’t see this as a un ilateral move of WMS from an add-on module to a core system, but rather an optional approach that has applications in specific industries such as 3PLs. Using ERP systems as a point of reference, it is unlikely that this add-on functionality will match the functionality of best-of-breed applications available separately. If warehousing/distribution is your core business function and you don’t want to have to deal with the integration issues of incorporating separate financials, order processing, etc. you may find these WMS based business systems are a good fit.Implementation TipsOutside of the standard “don’t underestimate”, “thoroughly test”, “train, train, train” implementation tips that apply to any business software installation ,it’s important t o emphasize that WMS are very data dependent and restrictive by design. That is, you need to have all of the various data elements in place for the system to function properly. And, when they are in place, you must operate within the set parameters.When implementing a WMS, you are adding an additional layer of technology onto your system. And with each layer of technology there is additional overhead and additional sources of potential problems. Now don’t take this as a condemnation of Warehouse Management Systems. Coming from a warehousing background I definitely appreciate the functionality WMS have to offer, and, in many warehouses, this functionality is essential to their ability to serve their customers and remain competitive. It’s just important t o note that every solution has its downsides and having a good understanding of the potential implications will allow managers to make better decisions related to the levels of technology that best suits their unique environment.仓库管理系统(WMS )仓库管理系统(WMS )的演变与许多其他软件解决方案是超级相似的。

云仓储模式智能仓储管理系统外文文献翻译3000多字

云仓储模式智能仓储管理系统外文文献翻译3000多字

文献信息标题:Intelligent Warehouse Management System under the Concept of Cloud Model作者:Moussa R.期刊名:International Journal of Recent Technology and Engineering,第8卷,第3期,页码:21-31.原文Intelligent Warehouse Management System under the Concept of Cloud ModelMoussa RAbstractIn the modern society, the role of logistics is more and more important, is known as the third profit source, enterprise want to gain a foothold in the change, standing, be sure to will improve the operation efficiency of each link in the top priority. Logistics operation is one that cannot be ignored, and warehouse management level is the key factor for improving the efficiency of enterprise logistics. The application of information technology, make warehouse management gradually developed to the direction of automation, integration, intelligence, the concept of cloud storage system is brought new opportunity for development of warehouse management system. In this paper, the business enterprise inside scattered in different parts of the multiple storage for the object, to build a cloud storage mode of architecture. The System using RFID (Radio Frequency Identification), intelligent technology such as GPS (Global Positioning System), use of network interconnection, distributed storage resources integration focused to a unified information repository, and according to user requirements for packaging services, provides a unified interface to the user the access to warehouse management services within the scope of permission. In this paper, the distributed storage and management of building cloud model, using a variety of automatic, intelligent, information technology for concentration of reasonable and effective integration of resources, resource scheduling optimization problems in the research system, an effective scheduling method is proposed, and preliminary realize intelligent warehouse management system based on cloud model, to provide users with good management service. Keywords: Cloud storage; Intelligent; Warehouse management1 IntroductionAny industry company, with more or less involve products in and out, is the product ofcirculation. Today, the enterprise to the environment can be in an impregnable position under great development, the logistics operation must be incorporated into the work of management, it is particularly important for large chain enterprises. Logistics operation is an important material in become the finished product to be put into use from the middle of the transit, since be transit, will inevitably exist in the middle of a stored procedure, it involves the material in the warehouse storage management, warehouse management problems.The emergence of science and technology, almost brought all the industry the development of innovative, it is no exception to the warehouse management problem. Under the guidance of science and technology, the development is experiencing a variety of storage management technology, but on the whole, is to reduce human input, increase the degree of mechanization, integration, introducing more automation, intelligent, the direction of network information technology, the development to improve the efficiency of the warehouse management has brought great possibility.In terms of the present situation, warehouse management is still in a transition period of development, according to the result of field research, although many storage have been adopted by some systematic and information management, such as the barcode on material management, establish the corresponding network information management system, but still continue to use previous manual enrollment data. This kind of management method to enhance the data format to the standardization of management, set up between the data and the name of the data dictionary, for the management of network information. Manual entry way, however, still need a great deal of effort, it will not only result in the interference of subjective factor, and often requires a second entry, namely the statistics from the material, and the data entry information system. This problem can pass to the original warehouse management mechanism, the application of RFID technology to solve, namely will replace for RFID electronic label, bar code and cooperate with the use of RFID reader. When making data entry, the direct use of reader scan electronic tags get prior written data, through process control data according to the predetermined format through the network to the information management system. This way of data acquisition, the device is completely objective to accomplish, the process follows a fixed procedure and specification, a recorded message data management system, reduce the error probability, simplify the work, greatly improves the data acquisition speed, more promoted the intelligent warehousemanagement level and efficiency of management.2 Literature reviewWarehouse management plays an important role in the whole logistics links, in the supply chain system, storage is an important transit connect upstream downstream manufacturing and distribution, are an integral part of the whole system. The development course of natural focused on by many scholars. Under the push of the scholars, warehouse management, include a lot of advanced ideas and technology method, to make it by the original manual warehouse management, gradually developed into a set of mechanization, automation, integration, intelligence for the integration of modern warehouse management system. Gainova active perception of manufacturing in the field of information resources for the key research, awareness contents include the basic information of many sided, union sensing technology is used to analyze the information network transmission, concentration and processing, finally realizes the holographic monitor and intelligent management of the entire manufacturing process. The application of various technical means, the final purpose is to make warehouse management more standardized and more efficient. Although initial artificial warehouse management is according to certain rules and regulations, but its no matter from the device, or are the most primitive human use.All the materials in and out, interior is done by human transportation dispatching, materials information recorded manually paper records, its cost a lot of manpower, but the efficiency is not high, also easy to get wrong. In order to make the material information management more accurate and specification, bar code and RFID technology has been the introduction of warehouse management. Ballestin pointed out that RFID is a way to get all sorts of properties such as real-time information of emerging technologies, the static, and dynamic management strategy are discussed respectively; analysis of the RFID technology brings the convenience for warehouse management. Lim M K etc. The application of RFID in warehouse management is reviewed, from 1995 to 2010 about the RFID literature summarized, including the application of RFID technology, and points out its new ideas to improve the efficiency of enterprise operation, its challenges, as well as the development direction of the future. Harry K.H.C how design a kind of resource information management system based on RFID, it can help the user to select the most appropriate storage resource handling warehouse need operation orders, effectively improve the efficiency of resources efficiency and warehouse management. Intelligent devices, effectively improve the precision ofthe underlying data acquisition, real-time, to avoid the interference of subjective factor, fundamentally improve the efficiency of warehouse management, provides a solid foundation for the system construction. In order to better use of the underlying data, reform the warehouse management, a large number of information technology, including wireless sensor network technology, Internet technology into it, such as establishing networked information management system for it.The Kamil Durski describes a cloud computing structure of warehouse management system, it can be compatible with different operating systems, and supports a variety of terminal equipment of access, including independent desktop computers, and all the mobile device.Keller designs a distributed storage management system based on framework, system build object-oriented business logic layer, applicable environment can be a traditional local area network (LAN) can also be a wan, sufficient to meet the demand of the distributed application, at the same time, the technology can be deployed in a distributed environment remote automatic updates, the maintainability is strong.3 Intelligent warehouse management based on cloud model3.1 Summary of cloud storageLarge chain enterprises tend to be distributed in different parts of the warehouse, whether reasonable and efficient management to the storage system is closely related to enterprise can normal operation. Storage technology in the process of evolution, the effective combination of various advanced technologies, to make it efficient, intelligent, integrated direction. Network information technology will be distributed storage into a network system, it covers the warehousing information about them and warehousing related supplies reserve information, logistics, transport, etc., and by a unified platform for centralized management, the storage system called cloud storage.Cloud storage is the product of information development, changed the past a single storage non-isolating management pattern, effective distributed storage of enterprise internal resources, including the basic information of the warehousing and storage store supplies information, goods transport information for centralized integration, such as the information management system for unified management. With the highest authority of the managers can clear control of the various storage current stockpiles and operation situation, with some permissions management personnelcan also view the corresponding resources within the scope of information, on this basis, the real-time control warehouse operation status, to satisfy the demand of the order of the specific supply warehousing arrangement, reasonable optimization, to achieve the optimal allocation of resources.3.2 Cloud platform architectureIn cloud storage management system, a distributed storage information resources and effective integration, will include intelligent entity resource, relevant equipment, warehousing, logistics resources, information resources, network equipment, center server and so on, all the physical resources and virtual resources, focus on the same platform, and to directly or after processing the invocation of the resources, make the user's demand to be satisfied in the form of packaging good, eventually under different permissions for on-demand invocation, to form a cloud platform architecture. This architecture can be abstracted as three levels, the bottom layer for infrastructure, which include the basic software and hardware facilities; The middle layer of the platform layer, the main complete virtual information resources collection and processing; At the highest level for the application layer, that is, the final show part of the user, is encapsulated function module3.2.1 Infrastructure layerInfrastructure layer at the bottom of the platform, includes all the hardware and software resources of the platform equipment, provide basic guarantee and support for the entire cloud platform.It includes warehousing logistics equipment resources, the basis of intelligent identification equipment to improve the efficiency of management and join, will be distributed storage and logistics equipment for network interconnection network facilities, resource pooling, schedule a central server device.3.2.2 Platform layerThe platform layer at an intermediate level of the whole system structure, the main data collection, calculation, statistics, etc., this is related to the analysis of the data processing of a level, is a virtual level. Is data related to the platform layer level, which include an information repository, is used to store the infrastructure layer to collect and upload all kinds of information. Information repository contains huge information resources, the amount of information will increase with the increase of infrastructure layer, it not only include some of the inherent attributesof the information infrastructure layer, when the infrastructure layer contains the function of real-time monitoring, it contains information and real-time monitoring the related part of the real-time refresh.3.2.3 Application layerApplication layer is at the highest level of the whole system, it is intuitive to reflect a hierarchy of the functional sex of the whole platform, according to the needs of users, the service for packaging, finally presented to the user. Combined with the specific project requirements, the intelligent warehouse management platform of application layer eventually provides warehouse management and logistics management of the two most functions.译文云处理理念下的智能仓储管理系统研究作者:Moussa R.摘要在现代社会,物流的作用正越来越重要,被誉为第三方利润源,企业要想在变化中站稳脚跟,务必将提高各环节的运转效率放在重中之重。

什么是仓库管理系统

什么是仓库管理系统

什么是仓库管理系统WMS(Warehouse Management System)翻译成中文就是仓储管理系统,从信息系统体系上讲,它是对上游订单管理系统或ERP系统仓储功能的扩展、延伸与优化。

实际应用中,它为仓储与配送中心提供更快、更准确、更精细的管理运营,提供系统层面的支持。

很明显,WMS是属于物流这个范畴内的,那么按照中国物流术语的标准定义,物流是物品从供应地向接收地的实体流动过程中,根据实际需要,将运输、储存、装卸搬运、包装、流通加工、配送、信息处理等功能有机结合起来实现用户要求的过程。

按照这个定义,各行各业涉及实体流动的,都离不开物流,而运输、储存、装卸搬运、包装、流通加工、配送、信息处理等这些功能的载体就是仓库。

仓库是整个供应链体系的中间环节。

它也是整个供应链体系中大的成本支出。

页脚内容1不同于采购与销售这种直接为公司创造利润的部门,仓储与运输部门每降低一块钱成本就是为公司创造一块钱的利润。

所以怎么样节省成本就是企业经营者需要考虑的重要问题。

仓库管理,就是为了更好的适应市场经济,让公司平台化,系统化,专业化。

而仓库管理除人以外最重要的就是仓储系统。

为什么要有仓储系统?老古传下好记性不如烂笔头!就是这个道理….很多老板不用仓储系统,甚至根本上就不会用,要不就是嫌麻烦,不舍得花钱!我在这里可以这样说:“市场第一批淘汰的就是不用仓储系统的”!其实也不一定是市场淘汰的,大多是被自己淘汰的。

下面我们就来说说仓储系统的重要性。

首先我们要先做个账套,因为我们的操作要到这个账套下操作,它就是你大脑,帮你记录你发家的所有数据。

这里我们要设置权限,因为这些数据是商业机密,不允许被管理员以外的人员获知的。

具体的我就不详细解说,卖软件的人会一步一步教你的。

其次,进货管理。

每批次产品入口都会有产品型号、规格、数量、色号、质量等级等信息,这些都应该输入到仓储系统里,方便以后查询。

再次,销售管理。

特别是有专卖店跟仓库分开管理的,这个软件就显的特别重要。

外文文献及翻译-仓库管理系统(WMS)

外文文献及翻译-仓库管理系统(WMS)

仓库管理系统(WMS)仓库管理系统(WMS)的演变与许多其他软件解决方案是非常相似的。

最初的系统用来控制物料在仓库内的流动和贮存,仓库的作用正在延伸到包括轻型制造业,交通运输管理,订单管理,和完整的会计制度中。

利用与先前的业务有关的软件,制造资源计划,作为一个比较,材料需求计划(MRP)开始作为一个规划要求,原材料的生产环境的系统。

物料需求计划很快演变成以MRP系统,补充调度和容量规划为基础的逻辑制造资源计划(MRPII系统)。

最终MRPII系统演变成企业资源规划(ERP),吸收所有的MRPII系统的功能包括充分的财务与客户和供应商管理功能。

现在,无论仓库管理系统演变成一个以仓库为中心的ERP系统是一件好事或不可达的辩论。

清楚的是,在仓库管理系统,企业资源规划,布局规划要求,交通运输管理系统,供应链计划,高级计划与排程,以及制造执行系统之间扩大重叠功能性只会增加那些寻找软件解决方案业务的公司混乱水平。

尽管仓库继续获得额外的功能,最初的仓库管理系统的核心功能还没有真正改变。

其主要目的是控制管理系统在工艺操作相关联的交易中的流动和材料储存。

定向采摘,定向补充,定向收集是仓库的关键。

从一个软件供应商到另一个在一个管理系统中详细的安装和处理可以有一个很大的差别,但是其基本逻辑将使用相结合的项目,地点,数量,度量单位,并以收集信息以确定在哪里储存,在哪里挑选,以及以何种顺序执行这些操作。

一最低限度,一个仓库管理系统应采取下列措施有一个灵活的定位系统。

利用用户定义的参数,指导仓库任务和使用Live文件来执行这些任务。

有一些内置的一体化和数据收集设备结合体。

您是否真的需要仓库管理系统?并非每一个仓库需要一个仓库管理系统。

当然,任何仓库可受益于其中一些功能,但这些受益是否足以证明管理系统最初的二声明1)仓库管理系统将减少库存!2)仓库管理系统将减少劳动力成本!3)仓库管理系统将增加存储容量!4)仓库管理系统将提高客户服务!5)仓库管理系统将增加库存的准确性!和正在进行的相关费用是正确的?仓库管理系统是大的,复杂的,数据密集型的应用。

计算机专业中英文文献翻译

计算机专业中英文文献翻译

1In the past decade the business environment has changed dramatically. The world has become a small and very dynamic marketplace. Organizations today confront new markets, new competition and increasing customer expectations. This has put a tremendous demand on manufacturers to; 1) Lower total costs in the complete supply chain 2) Shorten throughput times 3) Reduce stock to a minimum 4) Enlarge product assortment 5) Improve product quality 6) Provide more reliable delivery dates and higher service to the customer 7) Efficiently coordinate global demand, supply and production. Thus today's organization have to constantly re-engineer their business practices and procedures to be more and more responsive to customers and competition. In the 1990's information technology and business process re-engineering, used in conjunction with each other, have emerged as important tools which give organizations the leading edge.ERP Systems EvolutionThe focus of manufacturing systems in the 1960's was on inventory control. Most of the software packages then (usually customized) were designed to handle inventory based on traditional inventory concepts. In the 1970's the focus shifted to MRP (Material Requirement Planning) systems which translatedthe Master Schedule built for the end items into time-phased net requirements for the sub-assemblies, components and raw materials planning and procurement,In the 1980's the concept of MRP-II (Manufacturing Resources Planning) evolved which was an extension of MRP to shop floor and distribution management activities. In the early 1990's, MRP-II was further extended to cover areas like Engineering, Finance, Human Resources, Projects Management etc i.e. the complete gamut of activities within any business enterprise. Hence, the term ERP (Enterprise Resource Planning) was coined.In addition to system requirements, ERP addresses technology aspects like client/server distributedarchitecture, RDBMS, object oriented programming etc. ERP Systems-Bandwidth ERP solutions address broad areas within any business like Manufacturing, Distribution, Finance, Project Management, Service and Maintenance, Transportation etc. A seamless integration is essential to provide visibility and consistency across the enterprise.An ERP system should be sufficiently versatile to support different manufacturing environments like make-to-stock, assemble-to-order and engineer-to-order. The customer order decoupling point (CODP) should be flexible enough to allow the co-existence of these manufacturing environments within the same system. It is also very likely that the same product may migrate from one manufacturing environment to another during its produce life cycle.The system should be complete enough to support both Discrete as well as Process manufacturing scenario's. The efficiency of an enterprise depends on the quick flow of information across the complete supply chain i.e. from the customer to manufacturers to supplier. This places demands on the ERP system to have rich functionality across all areas like sales, accounts receivable, engineering, planning, inventory management, production, purchase, accounts payable, quality management, distribution planning and external transportation. EDI (Electronic Data Interchange) is an important tool in speeding up communications with trading partners.More and more companies are becoming global and focusing on down-sizing and decentralizing their business. ABB and Northern Telecom are examples of companies which have business spread around the globe. For these companies to manage their business efficiently, ERP systems need to have extensive multi-site management capabilities. The complete financial accounting and management accounting requirementsof the organization should be addressed. It is necessary to have centralized or de-centralized accounting functions with complete flexibility to consolidate corporate information.After-sales service should be streamlined and managed efficiently. A strong EIS (Enterprise Information System) with extensive drill down capabilities should be available for the top management to get a birds eye view of the health of their organization and help them to analyze performance in key areas.Evaluation CriteriaSome important points to be kept in mind while evaluating an ERP software include: 1) Functional fit with the Company's business processes 2) Degree of integration between the various components of the ERP system 3) Flexibility and scalability 4) Complexity; user friendliness 5) Quick implementation; shortened ROI period 6) Ability to support multi-site planning and control 7) Technology; client/server capabilities, database independence, security 8)Availability of regular upgrades 9) Amount of customization required 10) Local support infrastructure II) Availability of reference sites 12) Total costs,including cost of license, training, implementation, maintenance, customization and hardware requirements.ERP Systems-ImplementationThe success of an ERP solution depends on how quick the benefits can be reaped from it. This necessitates rapid implementations which lead to shortened ROI periods. Traditional approach to implementation has been to carry out a Business Process Re-engineering exercise and define a "TO BE"model before the ERP system implementation. This led to mismatches between the proposed model and the ERP functionality, the consequence of which was customizations, extended implementation time frames, higher costs and loss of user confidence.ERP Systems-The FutureThe Internet represents the next major technology enabler which allows rapid supply chain management between multiple operations and trading partners. Most ERP systems are enhancing their products to become "Internet Enabled" so that customers worldwide can have direct to the supplier's ERP system. ERP systems are building in the Workflow Management functionally which provides a mechanism to manage and controlthe flow of work by monitoring logistic aspects like workload, capacity, throughout times, work queue lengths and processing times.译文1在过去十年中,商业环境发生了巨大的变化。

英文文献及翻译(计算机专业)

英文文献及翻译(计算机专业)

英文文献及翻译(计算机专业)The increasing complexity of design resources in a net-based collaborative XXX common systems。

design resources can be organized in n with design activities。

A task is formed by a set of activities and resources linked by logical ns。

XXX managementof all design resources and activities via a Task Management System (TMS)。

which is designed to break down tasks and assign resources to task nodes。

This XXX。

2 Task Management System (TMS)TMS is a system designed to manage the tasks and resources involved in a design project。

It poses tasks into smaller subtasks。

XXX management of all design resources and activities。

TMS assigns resources to task nodes。

XXX。

3 Collaborative DesignCollaborative design is a process that XXX a common goal。

In a net-based collaborative design environment。

n XXX n for all design resources and activities。

计算机专业中英文翻译外文翻译文献翻译

计算机专业中英文翻译外文翻译文献翻译

英文参考文献及翻译Linux - Operating system of cybertimes Though for a lot of people , regard Linux as the main operating system to make up huge work station group, finish special effects of " Titanic " make , already can be regarded as and show talent fully. But for Linux, this only numerous news one of. Recently, the manufacturers concerned have announced that support the news of Linux to increase day by day, users' enthusiasm to Linux runs high unprecedentedly too. Then, Linux only have operating system not free more than on earth on 7 year this piece what glamour, get the favors of such numerous important software and hardware manufacturers as the masses of users and Orac le , Informix , HP , Sybase , Corel , Intel , Netscape , Dell ,etc. , OK?1.The background of Linux and characteristicLinux is a kind of " free (Free ) software ": What is called free,mean users can obtain the procedure and source code freely , and can use them freely , including revise or copy etc.. It is a result of cybertimes, numerous technical staff finish its research and development together through Inte rnet, countless user is it test and except fault , can add user expansion function that oneself make conveniently to participate in. As the most outstanding one in free software, Linux has characteristic of the following:(1)Totally follow POSLX standard, expand the network operatingsystem of supporting all AT&T and BSD Unix characteristic. Because of inheritting Unix outstanding design philosophy , and there are clean , stalwart , high-efficient and steady kernels, their all key codes are finished by Li nus Torvalds and other outstanding programmers, without any Unix code of AT&T or Berkeley, so Linu x is not Unix, but Linux and Unix are totally compatible.(2)Real many tasks, multi-user's system, the built-in networksupports, can be with such seamless links as NetWare , Windows NT , OS/2 ,Unix ,etc.. Network in various kinds of Unix it tests to be fastest in comparing and assess efficiency. Support such many kinds of files systems as FAT16 , FAT32 , NTFS , Ex t2FS , ISO9600 ,etc. at the same time .(3) Can operate it in many kinds of hardwares platform , including such processors as Alpha , SunSparc , PowerPC , MIPS ,etc., to various kinds of new-type peripheral hardwares, can from distribute on global numerous programmer there getting support rapidly too.(4) To that the hardware requires lower, can obtain very good performance on more low-grade machine , what deserves particular mention is Linux outstanding stability , permitted " year " count often its running times.2.Main application of Linux At present,Now, the application of Linux mainly includes:(1) Internet/Intranet: This is one that Linux was used most at present, it can offer and include Web server , all such Inter net services as Ftp server , Gopher server , SMTP/POP3 mail server , Proxy/Cache server , DNS server ,etc.. Linux kernel supports IPalias , PPP and IPtunneling, these functions can be used for setting up fictitious host computer , fictitious service , VPN (fictitious special-purpose network ) ,etc.. Operating Apache Web server on Linux mainly, the occupation rate of market in 1998 is 49%, far exceeds the sum of such several big companies as Microsoft , Netscape ,etc..(2) Because Linux has outstanding networking ability , it can be usedin calculating distributedly large-scaly, for instance cartoon making , scientific caculation , database and file server ,etc..(3) As realization that is can under low platform fullness of Unix that operate , apply at all levels teaching and research work of universities and colleges extensively, if Mexico government announce middle and primary schools in the whole country dispose Linux and offer Internet service for student already.(4) Tabletop and handling official business appliedly. Application number of people of in this respect at present not so good as Windows of Microsoft far also, reason its lie in Lin ux quantity , desk-top of application software not so good as Windows application far not merely, because the characteristic of the freedom software makes it not almost have advertisement thatsupport (though the function of Star Office is not second to MS Office at the same time, but there are actually few people knowing).3.Can Linux become a kind of major operating system?In the face of the pressure of coming from users that is strengthened day by day, more and more commercial companies transplant its application to Linux platform, comparatively important incident was as follows, in 1998 ①Compaq and HP determine to put forward user of requirement truss up Linux at their servers , IBM and Dell promise to offer customized Linux system to user too. ②Lotus announce, Notes the next edition include one special-purpose edition in Linux. ③Corel Company transplants its famous WordPerfect to on Linux, and free issue. Corel also plans to move the other figure pattern process products to Linux platform completely.④Main database producer: Sybase , Informix , Oracle , CA , IBM have already been transplanted one's own database products to on Linux, or has finished Beta edition, among them Oracle and Informix also offer technical support to their products.4.The gratifying one is, some farsighted domestic corporations have begun to try hard to change this kind of current situation already. Stone Co. not long ago is it invest a huge sum of money to claim , regard Linux as platform develop a Internet/Intranet solution, regard this as the core and launch Stone's system integration business , plan to set up nationwide Linux technical support organization at the same time , take the lead to promote the freedom software application and development in China. In addition domestic computer Company , person who win of China , devoted to Linux relevant software and hardware application of system popularize too. Is it to intensification that Linux know , will have more and more enterprises accede to the ranks that Linux will be used with domestic every enterprise to believe, more software will be planted in Linux platform. Meanwhile, the domestic university should regard Linux as the original version and upgrade already existing Unix content of courses , start with analysing the source code and revising the kernel and train a large number of senior Linux talents, improve our country's own operating system. Having only really grasped the operating system, the software industry of our country could be got rid of and aped sedulously at present, the passive state led by the nose by others, create conditions for revitalizing the software industry of our country fundamentally.中文翻译Linux—网络时代的操作系统虽然对许多人来说,以Linux作为主要的操作系统组成庞大的工作站群,完成了《泰坦尼克号》的特技制作,已经算是出尽了风头。

大学毕业设计仓库管理系统数据库计算机外文参考文献原文及翻译

大学毕业设计仓库管理系统数据库计算机外文参考文献原文及翻译

河北工程大学毕业论文(设计)英文参考文献原文复印件及译文数据仓库数据仓库为商务运作提供结构与工具,以便系统地组织、理解和使用数据进行决策。

大量组织机构已经发现,在当今这个充满竞争、快速发展的世界,数据仓库是一个有价值的工具。

在过去的几年中,许多公司已花费数百万美元,建立企业范围的数据仓库。

许多人感到,随着工业竞争的加剧,数据仓库成了必备的最新营销武器——通过更多地了解客户需求而保住客户的途径。

“那么”,你可能会充满神秘地问,“到底什么是数据仓库?”数据仓库已被多种方式定义,使得很难严格地定义它。

宽松地讲,数据仓库是一个数据库,它与组织机构的操作数据库分别维护。

数据仓库系统允许将各种应用系统集成在一起,为统一的历史数据分析提供坚实的平台,对信息处理提供支持。

按照W. H. Inmon,一位数据仓库系统构造方面的领头建筑师的说法,“数据仓库是一个面向主题的、集成的、时变的、非易失的数据集合,支持管理决策制定”。

这个简短、全面的定义指出了数据仓库的主要特征。

四个关键词,面向主特征。

(1)(2)确保(3)(4)下的应用数据。

由于这种分离,数据仓库不需要事务处理、恢复和并行控制机制。

通常,它只需要两种数据访问:数据的初始化装入和数据访问。

概言之,数据仓库是一种语义上一致的数据存储,它充当决策支持数据模型的物理实现,并存放企业决策所需信息。

数据仓库也常常被看作一种体系结构,通过将异种数据源中的数据集成在一起而构造,支持结构化和启发式查询、分析报告和决策制定。

“好”,你现在问,“那么,什么是建立数据仓库?”根据上面的讨论,我们把建立数据仓库看作构造和使用数据仓库的过程。

数据仓库的构造需要数据集成、数据清理、和数据统一。

利用数据仓库常常需要一些决策支持技术。

这使得“知识工人”(例如,经理、分析人员和主管)能够使用数据仓库,快捷、方便地得到数据的总体视图,根据数据仓库中的信息做出准确的决策。

有些作者使用术语“建立数据仓库”表示构造数据仓库的过程,而用术语“仓库DBMS”表示管理和使用数据仓库。

仓储物流外文文献翻译中英文原文及译文2023-2023

仓储物流外文文献翻译中英文原文及译文2023-2023

仓储物流外文文献翻译中英文原文及译文2023-2023原文1:The Current Trends in Warehouse Management and LogisticsWarehouse management is an essential component of any supply chain and plays a crucial role in the overall efficiency and effectiveness of logistics operations. With the rapid advancement of technology and changing customer demands, the field of warehouse management and logistics has seen several trends emerge in recent years.One significant trend is the increasing adoption of automation and robotics in warehouse operations. Automated systems such as conveyor belts, robotic pickers, and driverless vehicles have revolutionized the way warehouses function. These technologies not only improve accuracy and speed but also reduce labor costs and increase safety.Another trend is the implementation of real-time tracking and visibility systems. Through the use of RFID (radio-frequency identification) tags and GPS (global positioning system) technology, warehouse managers can monitor the movement of goods throughout the entire supply chain. This level of visibility enables better inventory management, reduces stockouts, and improves customer satisfaction.Additionally, there is a growing focus on sustainability in warehouse management and logistics. Many companies are implementing environmentally friendly practices such as energy-efficient lighting, recycling programs, and alternativetransportation methods. These initiatives not only contribute to reducing carbon emissions but also result in cost savings and improved brand image.Furthermore, artificial intelligence (AI) and machine learning have become integral parts of warehouse management. AI-powered systems can analyze large volumes of data to optimize inventory levels, forecast demand accurately, and improve operational efficiency. Machine learning algorithms can also identify patterns and anomalies, enabling proactive maintenance and minimizing downtime.In conclusion, warehouse management and logistics are continuously evolving fields, driven by technological advancements and changing market demands. The trends discussed in this article highlight the importance of adopting innovative solutions to enhance efficiency, visibility, sustainability, and overall performance in warehouse operations.译文1:仓储物流管理的当前趋势仓储物流管理是任何供应链的重要组成部分,并在物流运营的整体效率和效力中发挥着至关重要的作用。

计算机毕业设计外文翻译---数据仓库

计算机毕业设计外文翻译---数据仓库

DATA WAREHOUSEData warehousing provides architectures and tools for business executives to systematically organize, understand, and use their data to make strategic decisions. A large number of organizations have found that data warehouse systems are valuable tools in today's competitive, fast evolving world. In the last several years, many firms have spent millions of dollars in building enterprise-wide data warehouses. Many people feel that with competition mounting in every industry, data warehousing is the latest must-have marketing weapon —— a way to keep customers by learning more about their needs.“So", you may ask, full of intrigue, “what exactly is a data warehouse?"Data warehouses have been defined in many ways, making it difficult to formulate a rigorous definition. Loosely speaking, a data warehouse refers to a database that is maintained separately from an organization's operational databases. Data warehouse systems allow for the integration of a variety of application systems. They support information processing by providing a solid platform of consolidated, historical data for analysis.According to W. H. Inmon, a leading architect in the construction of data warehouse systems, “a data warehouse is a subject-oriented, integrated, time-variant, and nonvolatile collection of data in support of management's decision making process." This short, but comprehensive definition presents the major features of a data warehouse. The four keywords, subject-oriented, integrated, time-variant, and nonvolatile, distinguish data warehouses from other data repository systems, such as relational database systems, transaction processing systems, and file systems. Let's take a closer look at each of these key features.(1)Subject-oriented: A data warehouse is organized around major subjects, such as customer, vendor, product, and sales. Rather than concentrating on the day-to-day operations and transaction processing of an organization, a data warehouse focuses on the modeling and analysis of data for decision makers. Hence, data warehouses typically provide a simple and concise view around particular subject issues by excluding data that are not useful in the decision support process.(2)Integrated: A data warehouse is usually constructed by integrating multiple heterogeneous sources, such as relational databases, flat files, and on-line transaction records. Data cleaning and data integration techniques are applied to ensure consistency in naming conventions, encoding structures, attribute measures, and so on..(3)Time-variant: Data are stored to provide information from a historical perspective (e.g., the past 5-10 years). Every key structure in the data warehouse contains, either implicitly or explicitly, an element of time.(4)Nonvolatile: A data warehouse is always a physically separate store of data transformed from the application data found in the operational environment. Due to this separation, a data warehouse does not require transaction processing, recovery, and concurrency control mechanisms. It usually requires only two operations in data accessing: initial loading of data and access of data..In sum, a data warehouse is a semantically consistent data store that serves as a physical implementation of a decision support data model and stores the information on which an enterprise needs to make strategic decisions. A data warehouse is also often viewed as an architecture, constructed by integrating data from multiple heterogeneous sources to support structured and/or ad hoc queries, analytical reporting, and decision making.“OK", you now ask, “what, then, is data warehousing?"Based on the above, we view data warehousing as the process of constructing and using data warehouses. The construction of a data warehouse requires data integration, data cleaning, and data consolidation. The utilization of a data warehouse often necessitates a collection of decision support technologies. This allows “knowledge workers" (e.g., managers, analysts, and executives) to use the warehouse to quickly and conveniently obtain an overview of the data, and to make sound decisionsbased on information in the warehouse. Some authors use the term “data warehousing" to refer only to the process of data warehouse construction, while the term warehouse DBMS is used to refer to the management and utilization of data warehouses. We will not make this distinction here.“How are organizations using the information from data warehouses?" Many organizations are using this information to support business decision making activities, including:(1) increasing customer focus, which includes the analysis of customer buying patterns (such as buying preference, buying time, budget cycles, and appetites for spending).(2) repositioning products and managing product portfolios by comparing the performance of sales by quarter, by year, and by geographic regions, in order to fine-tune production strategies.(3) analyzing operations and looking for sources of profit.(4) managing the customer relationships, making environmental corrections, and managing the cost of corporate assets.Data warehousing is also very useful from the point of view of heterogeneous database integration. Many organizations typically collect diverse kinds of data and maintain large databases from multiple, heterogeneous, autonomous, and distributed information sources. To integrate such data, and provide easy and efficient access to it is highly desirable, yet challenging. Much effort has been spent in the database industry and research community towards achieving this goal.The traditional database approach to heterogeneous database integration is to build wrappers and integrators (or mediators) on top of multiple, heterogeneous databases. A variety of data joiner and data blade products belong to this category. When a query is posed to a client site, a metadata dictionary is used to translate the query into queries appropriate for the individual heterogeneous sites involved. These queries are then mapped and sent to local query processors. The results returned from the different sites are integrated into a global answer set. This query-driven approach requires complex information filtering and integration processes, and competes for resources with processing at local sources. It is inefficient and potentially expensive for frequent queries, especially for queries requiring aggregations.Data warehousing provides an interesting alternative to the traditional approach of heterogeneous database integration described above. Rather than using a query-driven approach, data warehousing employs an update-driven approach in which information from multiple, heterogeneous sources is integrated in advance and stored in a warehouse for direct querying and analysis. Unlike on-line transaction processing databases, data warehouses do not contain the most current information. However, a data warehouse brings high performance to the integrated heterogeneous database system since data are copied, preprocessed, integrated, annotated, summarized, and restructured into one semantic data store. Furthermore, query processing in data warehouses does not interfere with the processing at local sources. Moreover, data warehouses can store and integrate historical information and support complex multidimensional queries. As a result, data warehousing has become very popular in industry.1.Differences between operational database systems and data warehousesSince most people are familiar with commercial relational database systems, it is easy to understand what a data warehouse is by comparing these two kinds of systems.The major task of on-line operational database systems is to perform on-line transaction and query processing. These systems are called on-line transaction processing (OLTP) systems. They cover most of the day-to-day operations of an organization, such as, purchasing, inventory, manufacturing, banking, payroll, registration, and accounting. Data warehouse systems, on the other hand, serve users or “knowledge workers" in the role of data analysis and decision making. Such systems can organize and present data in various formats in order to accommodate the diverse needs of the different users. These systems are known as on-line analytical processing (OLAP) systems.The major distinguishing features between OLTP and OLAP are summarized as follows.(1)Users and system orientation: An OLTP system is customer-oriented and is used for transaction and query processing by clerks, clients, and information technology professionals. An OLAP system is market-oriented and is used for data analysis by knowledge workers, including managers, executives, and analysts.(2)Data contents: An OLTP system manages current data that, typically, are too detailed to be easily used for decision making. An OLAP system manages large amounts of historical data, provides facilities for summarization and aggregation, and stores and manages information at different levels of granularity. These features make the data easier for use in informed decision making.(3)Database design: An OLTP system usually adopts an entity-relationship (ER) data model and an application -oriented database design. An OLAP system typically adopts either a star or snowflake model, and a subject-oriented database design.(4)View: An OLTP system focuses mainly on the current data within an enterprise or department, without referring to historical data or data in different organizations. In contrast, an OLAP system often spans multiple versions of a database schema, due to the evolutionary process of an organization. OLAP systems also deal with information that originates from different organizations, integrating information from many data stores. Because of their huge volume, OLAP data are stored on multiple storage media.(5). Access patterns: The access patterns of an OLTP system consist mainly of short, atomic transactions. Such a system requires concurrency control and recovery mechanisms. However, accesses to OLAP systems are mostly read-only operations (since most data warehouses store historical rather than up-to-date information), although many could be complex queries.Other features which distinguish between OLTP and OLAP systems include database size, frequency of operations, and performance metrics and so on.2.But, why have a separate data warehouse?“Since operational databases store huge amounts of data", you observe, “why not perform on-line analytical processing directly on such databases instead of spending additional time and resources to construct a separate data warehouse?"A major reason for such a separation is to help promote the high performance of both systems. An operational database is designed and tuned from known tasks and workloads, such as indexing and hashing using primary keys, searching for particular records, and optimizing “canned" queries. On the other hand, data warehouse queries are often complex. They involve the computation of large groups of data at summarized levels, and may require the use of special data organization, access, and implementation methods based on multidimensional views. Processing OLAP queries in operational databases would substantially degrade the performance of operational tasks.Moreover, an operational database supports the concurrent processing of several transactions. Concurrency control and recovery mechanisms, such as locking and logging, are required to ensure the consistency and robustness of transactions. An OLAP query often needs read-only access of data records for summarization and aggregation. Concurrency control and recovery mechanisms, if applied for such OLAP operations, may jeopardize the execution of concurrent transactions and thus substantially reduce the throughput of an OLTP system.Finally, the separation of operational databases from data warehouses is based on the different structures, contents, and uses of the data in these two systems. Decision support requires historical data, whereas operational databases do not typically maintain historical data. In this context, the data in operational databases, though abundant, is usually far from complete for decision making. Decision support requires consolidation (such as aggregation and summarization) of data from heterogeneous sources, resulting in high quality, cleansed and integrated data. In contrast, operational databases contain only detailed raw data, such as transactions, which need to be consolidated before analysis. Since the two systems provide quite different functionalities and require different kinds of data, it is necessary to maintain separate databases.数据仓库数据仓库为商务运作提供了组织结构和工具,以便系统地组织、理解和使用数据进行决策。

仓库管理系统英文的参考文献

仓库管理系统英文的参考文献

仓库管理系统英文的参考文献英文回答:Warehouse Management System (WMS)。

A warehouse management system (WMS) is a software application that supports the day-to-day operations of a warehouse. It helps businesses keep track of their inventory, manage their warehouse space, and optimize their shipping and receiving processes.Benefits of using a WMS:Improved inventory accuracy.Reduced labor costs.Increased warehouse space utilization.Improved customer service.Reduced shipping costs.Features of a WMS:Inventory management.Warehouse space management.Shipping and receiving management. Reporting and analytics.Types of WMS:On-premise WMS.Cloud-based WMS.Hybrid WMS.Choosing the right WMS:When choosing a WMS, businesses should consider the following factors:The size and complexity of their warehouse.The volume of inventory they manage.Their shipping and receiving requirements.Their budget.Their IT resources.Implementation of a WMS:Implementing a WMS can be a complex process. However, with careful planning and execution, businesses can reap the many benefits that a WMS has to offer.中文回答:仓库管理系统 (WMS)。

立体仓库中英文对照外文翻译文献

立体仓库中英文对照外文翻译文献

立体仓库中英文对照外文翻译文献(文档含英文原文和中文翻译)由一个单一的存储/检索机服务的多巷道自动化立体仓库存在的拣选分拣问题摘要随着现代化科技的发展,仓库式存储系统在设计与运行方面出现了巨大的改革。

自动化立体仓库(AS / RS)嵌入计算机驱动正变得越来越普遍。

由于AS / RS 使用的增加对计算机控制的需要与支持也在提高。

这项研究解决了在多巷道立体仓库的拣选问题,在这种存储/检索(S / R)操作中,每种货物可以在多个存储位置被寻址到。

提出运算方法的目标是,通过S/R系统拣选货物来最大限度的减少行程时间。

我们开发的遗传式和启发式算法,以及通过比较从大量的问题中得到一个最佳的解决方案。

关键词:自动化立体仓库,AS / RS系统,拣选,遗传算法。

1.言在现今的生产环境中,库存等级保持低于过去。

那是因为这种较小的存储系统不仅降低库存量还增加了拣选货物的速度。

自动化立体仓库(AS / RS),一方面通过提供快速响应,来达到高操作效率;另一方面它还有助于运作方面的系统响应时间,减少的拣选完成的总行程时间。

因此,它常被用于制造业、储存仓库和分配设备等行业中。

拣选是仓库检索功能的基本组成部分。

它的主要目的是,在预先指定的地点中选择适当数量的货物以满足客户拣选要求。

虽然拣选操作仅仅是物体在仓储中装卸操作之一,但它却是“最耗时间和花费最大的仓储功能。

许多情形下,仓储盈利的高低就在于是否能将拣选操作运行处理好”。

(Bozer和White)Ratliff和Rosenthal,他们关于自动化立体仓库系统(AS/RS)的拣选问题进行的研究,发明了基图算法,在阶梯式布局中选取最短的访问路径。

Roodbergen 和de Koster 拓展了Ratliff 和Rosenthal算法。

他们认为,在平行巷道拣选问题上,应该穿越巷道末端和中间端进行拣选,就此他们发明了一种动态的规划算法解决这问题。

就此Van den Berg 和Gademann发明了一种运输模型(TP),它是对于指定的存储和卸载进行测算的仪器。

计算机专业外文翻译+原文-数据库管理系统介绍

计算机专业外文翻译+原文-数据库管理系统介绍

外文资料Database Management SystemsA database (sometimes spelled data base) is also called an electronic database , referring to any collection of data, or information, that is specially organized for rapid search and retrieval by a computer. Databases are structured to facilitate the storage, retrieval , modification, and deletion of data in conjunction with various data-processing operations .Databases can be stored on magnetic disk or tape, optical disk, or some other secondary storage device.A database consists of a file or a set of files. The information in these files may be broken down into records, each of which consists of one or more fields. Fields are the basic units of data storage , and each field typically contains information pertaining to one aspect or attribute of the entity described by the database . Using keywords and various sorting commands, users can rapidly search , rearrange, group, and select the fields in many records to retrieve or create reports on particular aggregate of data.Complex data relationships and linkages may be found in all but the simplest databases .The system software package that handles the difficult tasks associated with creating ,accessing, and maintaining database records is called a database management system(DBMS).The programs in a DBMS package establish an interface between the database itself and the users of the database.. (These users may be applications programmers, managers and others with information needs, and various OS programs.)A DBMS can organize, process, and present selected data elements form the database. This capability enables decision makers to search, probe, and query database contents in order to extract answers to nonrecurring and unplanned questions that aren’t available in regular reports. These questions might initially be vague and/or poorly defined ,but people can “browse” through the database until they have the needed information. In short, the DBMS will “manage” the stored data items and assemble the needed items from the common database in response to the queries of those who aren’t programmers.A database management system (DBMS) is composed of three major parts:(1)a storage subsystem that stores and retrieves data in files;(2) a modeling and manipulation subsystem that provides the means with which to organize the data and to add , delete, maintain, and update the data;(3)and an interface between the DBMS and its users. Several major trends are emerging that enhance the value and usefulness of database management systems;Managers: who require more up-to-data information to make effective decisionCustomers: who demand increasingly sophisticated information services and more current information about the status of their orders, invoices, and accounts.Users: who find that they can develop custom applications with database systems in a fraction of the time it takes to use traditional programming languages.Organizations : that discover information has a strategic value; they utilize their database systems to gain an edge over their competitors.The Database ModelA data model describes a way to structure and manipulate the data in a database. The structural part of the model specifies how data should be represented(such as tree, tables, and so on ).The manipulative part of the model specifies the operation with which to add, delete, display, maintain, print, search, select, sort and update the data.Hierarchical ModelThe first database management systems used a hierarchical model-that is-they arranged records into a tree structure. Some records are root records and all others have unique parent records. The structure of the tree is designed to reflect the order in which the data will be used that is ,the record at the root of a tree will be accessed first, then records one level below the root ,and so on.The hierarchical model was developed because hierarchical relationships are commonly found in business applications. As you have known, an organization char often describes a hierarchical relationship: top management is at the highest level, middle management at lower levels, and operational employees at the lowest levels. Note that within a strict hierarchy, each level of management may have many employees or levels of employees beneath it, but each employee has only one manager. Hierarchical data are characterized by this one-to-many relationship among data.In the hierarchical approach, each relationship must be explicitly defined when the database is created. Each record in a hierarchical database can contain only one key field and only one relationship is allowed between any two fields. This can create a problem because data do not always conform to such a strict hierarchy.Relational ModelA major breakthrough in database research occurred in 1970 when E. F. Codd proposed a fundamentally different approach to database management called relational model ,which uses a table as its data structure.The relational database is the most widely used database structure. Data is organized into related tables. Each table is made up of rows called and columns called fields. Each record contains fields of data about some specific item. For example, in a table containing information on employees, a recordwould contain fields of data such as a person’s last name ,first name ,and street address.Structured query language(SQL)is a query language for manipulating data in a relational database .It is nonprocedural or declarative, in which the user need only specify an English-like description that specifies the operation and the described record or combination of records. A query optimizer translates the description into a procedure to perform the database manipulation.Network ModelThe network model creates relationships among data through a linked-list structure in which subordinate records can be linked to more than one parent record. This approach combines records with links, which are called pointers. The pointers are addresses that indicate the location of a record. With the network approach, a subordinate record can be linked to a key record and at the same time itself be a key record linked to other sets of subordinate records. The network mode historically has had a performance advantage over other database models. Today , such performance characteristics are only important in high-volume ,high-speed transaction processing such as automatic teller machine networks or airline reservation system.Both hierarchical and network databases are application specific. If a new application is developed ,maintaining the consistency of databases in different applications can be very difficult. For example, suppose a new pension application is developed .The data are the same, but a new database must be created.Object ModelThe newest approach to database management uses an object model , in which records are represented by entities called objects that can both store data and provide methods or procedures to perform specific tasks.The query language used for the object model is the same object-oriented programming language used to develop the database application .This can create problems because there is no simple , uniform query language such as SQL . The object model is relatively new, and only a few examples of object-oriented database exist. It has attracted attention because developers who choose an object-oriented programming language want a database based on an object-oriented model. Distributed DatabaseSimilarly , a distributed database is one in which different parts of the database reside on physically separated computers . One goal of distributed databases is the access of information without regard to where the data might be stored. Keeping in mind that once the users and their data are separated , the communication and networking concepts come into play .Distributed databases require software that resides partially in the larger computer. This software bridges the gap between personal and large computers and resolves the problems of incompatible dataformats. Ideally, it would make the mainframe databases appear to be large libraries of information, with most of the processing accomplished on the personal computer.A drawback to some distributed systems is that they are often based on what is called a mainframe-entire model , in which the larger host computer is seen as the master and the terminal or personal computer is seen as a slave. There are some advantages to this approach . With databases under centralized control , many of the problems of data integrity that we mentioned earlier are solved . But today’s personal computers, departmental computers, and distributed processing require computers and their applications to communicate with each other on a more equal or peer-to-peer basis. In a database, the client/server model provides the framework for distributing databases.One way to take advantage of many connected computers running database applications is to distribute the application into cooperating parts that are independent of one anther. A client is an end user or computer program that requests resources across a network. A server is a computer running software that fulfills those requests across a network . When the resources are data in a database ,the client/server model provides the framework for distributing database.A file serve is software that provides access to files across a network. A dedicated file server is a single computer dedicated to being a file server. This is useful ,for example ,if the files are large and require fast access .In such cases, a minicomputer or mainframe would be used as a file server. A distributed file server spreads the files around on individual computers instead of placing them on one dedicated computer.Advantages of the latter server include the ability to store and retrieve files on other computers and the elimination of duplicate files on each computer. A major disadvantage , however, is that individual read/write requests are being moved across the network and problems can arise when updating files. Suppose a user requests a record from a file and changes it while another user requests the same record and changes it too. The solution to this problems called record locking, which means that the first request makes others requests wait until the first request is satisfied . Other users may be able to read the record, but they will not be able to change it .A database server is software that services requests to a database across a network. For example, suppose a user types in a query for data on his or her personal computer . If the application is designed with the client/server model in mind ,the query language part on the personal computer simple sends the query across the network to the database server and requests to be notified when the data are found.Examples of distributed database systems can be found in the engineering world. Sun’s Network Filing System(NFS),for example, is used in computer-aided engineering applications to distribute data among the hard disks in a network of Sun workstation.Distributing databases is an evolutionary step because it is logical that data should exist at thelocation where they are being used . Departmental computers within a large corporation ,for example, should have data reside locally , yet those data should be accessible by authorized corporate management when they want to consolidate departmental data . DBMS software will protect the security and integrity of the database , and the distributed database will appear to its users as no different from the non-distributed database .In this information age, the data server has become the heart of a company. This one piece of software controls the rhythm of most organizations and is used to pump information lifeblood through the arteries of the network. Because of the critical nature of this application, the data server is also the one of the most popular targets for hackers. If a hacker owns this application, he can cause the company's "heart" to suffer a fatal arrest.Ironically, although most users are now aware of hackers, they still do not realize how susceptible their database servers are to hack attacks. Thus, this article presents a description of the primary methods of attacking database servers (also known as SQL servers) and shows you how to protect yourself from these attacks.You should note this information is not new. Many technical white papers go into great detail about how to perform SQL attacks, and numerous vulnerabilities have been posted to security lists that describe exactly how certain database applications can be exploited. This article was written for the curious non-SQL experts who do not care to know the details, and as a review to those who do use SQL regularly.What Is a SQL Server?A database application is a program that provides clients with access to data. There are many variations of this type of application, ranging from the expensive enterprise-level Microsoft SQL Server to the free and open source mySQL. Regardless of the flavor, most database server applications have several things in common.First, database applications use the same general programming language known as SQL, or Structured Query Language. This language, also known as a fourth-level language due to its simplistic syntax, is at the core of how a client communicates its requests to the server. Using SQL in its simplest form, a programmer can select, add, update, and delete information in a database. However, SQL can also be used to create and design entire databases, perform various functions on the returned information, and even execute other programs.To illustrate how SQL can be used, the following is an example of a simple standard SQL query and a more powerful SQL query:Simple: "Select * from dbFurniture.tblChair"This returns all information in the table tblChair from the database dbFurniture.Complex: "EXEC master..xp_cmdshell 'dir c:\'"This short SQL command returns to the client the list of files and folders under the c:\ directory of the SQL server. Note that this example uses an extended stored procedure that is exclusive to MS SQL Server.The second function that database server applications share is that they all require some form of authenticated connection between client and host. Although the SQL language is fairly easy to use, at least in its basic form, any client that wants to perform queries must first provide some form of credentials that will authorize the client; the client also must define the format of the request and response.This connection is defined by several attributes, depending on the relative location of the client and what operating systems are in use. We could spend a whole article discussing various technologies such as DSN connections, DSN-less connections, RDO, ADO, and more, but these subjects are outside the scope of this article. If you want to learn more about them, a little Google'ing will provide you with more than enough information. However, the following is a list of the more common items included in a connection request.Database sourceRequest typeDatabaseUser IDPasswordBefore any connection can be made, the client must define what type of database server it is connecting to. This is handled by a software component that provides the client with the instructions needed to create the request in the correct format. In addition to the type of database, the request type can be used to further define how the client's request will be handled by the server. Next comes the database name and finally the authentication information.All the connection information is important, but by far the weakest link is the authentication information—or lack thereof. In a properly managed server, each database has its own users with specifically designated permissions that control what type of activity they can perform. For example, a user account would be set up as read only for applications that need to only access information. Another account should be used for inserts or updates, and maybe even a third account would be used for deletes. This type of account control ensures that any compromised account is limited in functionality. Unfortunately, many database programs are set up with null or easy passwords, which leads to successful hack attacks.译文数据库管理系统介绍数据库(database,有时拼作data base)又称为电子数据库,是专门组织起来的一组数据或信息,其目的是为了便于计算机快速查询及检索。

  1. 1、下载文档前请自行甄别文档内容的完整性,平台不提供额外的编辑、内容补充、找答案等附加服务。
  2. 2、"仅部分预览"的文档,不可在线预览部分如存在完整性等问题,可反馈申请退款(可完整预览的文档不适用该条件!)。
  3. 3、如文档侵犯您的权益,请联系客服反馈,我们会尽快为您处理(人工客服工作时间:9:00-18:30)。

Warehouse Management Systems (WMS).The evolution of warehouse management systems (WMS) is very similar to that of many other software solutions. Initially a system to control movement and storage of materials within a warehouse, the role of WMS is expanding to including light manufacturing, transportation management, order management, and complete accounting systems. To use the grandfather of operations-related software, MRP, as a comparison, material requirements planning (MRP) started as a system for planning raw material requirements in a manufacturing environment. Soon MRP evolved into manufacturing resource planning (MRPII), which took the basic MRP system and added scheduling and capacity planning logic. Eventually MRPII evolved into enterprise resource planning (ERP), incorporating all the MRPII functionality with full financials and customer and vendor management functionality. Now, whether WMS evolving into a warehouse-focused ERP system is a good thing or not is up to debate. What is clear is that the expansion of the overlap in functionality between Warehouse Management Systems, Enterprise Resource Planning, Distribution Requirements Planning, Transportation Management Systems, Supply Chain Planning, Advanced Planning and Scheduling, and Manufacturing Execution Systems will only increase the level of confusion among companies looking for software solutions for their operations.Even though WMS continues to gain added functionality, the initial core functionality of a WMS has not really changed. The primary purpose of a WMS is to control the movement and storage of materials within an operation and process the associated transactions. Directed picking, directed replenishment, and directed put away are the key to WMS. The detailed setup and processing within a WMS can vary significantly from one software vendor to another, however the basic logic will use a combination of item, location, quantity, unit of measure, and order information to determine where to stock, where to pick, and in what sequence to perform these operations.Do You Really Need WMS?Not every warehouse needs a WMS. Certainly any warehouse could benefit from some of the functionality but is the benefit great enough to justify the initial and ongoing costs associated with WMS? Warehouse Management Systems are big, complex, data intensive, applications. They tend to require a lot of initial setup, a lot of system resources to run, and a lot of ongoing data management to continue to run. That’s right, you need to "manage" your warehouse "management" system. Often times, large operations will end up creating a new IS department with the sole responsibility of managing the WMS.The Claims:WMS will reduce inventory!WMS will reduce labor costs!WMS will increase storage capacity!WMS will increase customer service!WMS will increase inventory accuracy!The Reality:The implementation of a WMS along with automated data collection will likely give you increases in accuracy, reduction in labor costs (provided the labor required to maintain the system is less than the labor saved on the warehouse floor), and a greater ability to service the customer by reducing cycle times. Expectations of inventory reduction and increased storage capacity are less likely. While increased accuracy and efficiencies in the receiving process may reduce the level of safety stock required, the impact of this reduction will likely be negligible in comparison to overall inventory levels. The predominant factors that control inventory levels are lot sizing, lead times, and demand variability. It is unlikely that a WMS will have a significant impact on any of these factors. And while a WMS certainly provides the tools for more organized storage which may result in increased storage capacity, this improvement will be relative to just how sloppy your pre-WMS processes were.Beyond labor efficiencies, the determining factors in deciding to implement a WMS tend to be more often associated with the need to do something to service your customers that your current system does not support (or does not support well) such as first-in-first-out,cross-docking, automated pick replenishment, wave picking, lot tracking, yard management, automated data collection, automated material handling equipment, etc.SetupThe setup requirements of WMS can be extensive. The characteristics of each item and location must be maintained either at the detail level or by grouping similar items and locations into categories. An example of item characteristics at the detail level would include exact dimensions and weight of each item in each unit of measure the item is stocked (each, cases, pallets, etc) as well as information such as whether it can be mixed with other items in a location, whether it is rack able, max stack height, max quantity per location, hazard classifications, finished goods or raw material, fast versus slow mover, etc. Although some operations will need to set up each item this way, most operations will benefit by creating groups of similar products. For example, if you are a distributor of music CDs you would create groups for single CDs, and double CDs, maintaining the detailed dimension and weight information at the group level and only needing to attach the group code to each item. You would likely need to maintain detailed information on special items such as boxed sets or CDs in special packaging. You would also create groups for the different types of locations within your warehouse. An example would be to create three different groups (P1, P2, P3) for the three different sized forward picking locations you use for your CD picking. You then set up the quantity of single CDs that will fit in a P1, P2, and P3 location, quantity of double CDs that fit in a P1, P2, P3 location etc. You would likely also be setting up case quantities, and pallet quantities of each CD group and quantities of cases and pallets per each reserve storage location group.If this sounds simple, it is…well… sort of. In reality most operations have a much more diverse product mix and will require much more system setup. And setting up the physical characteristics of the product and locations is only part of the picture. You have set up enough so that the system knows where a product can fit and how many will fit in that location. You now need to set up the information needed to let the system decide exactly which location to pick from, replenish from/to, and put away to, and in what sequence these events should occur (remember WMS is all about “directed” movement). You do this by assigning sp ecific logic to the various combinations of item/order/quantity/location information that will occur.Below I have listed some of the logic used in determining actual locations and sequences.Location Sequence. This is the simplest logic; you simply define a flow through your warehouse and assign a sequence number to each location. In order picking this is used to sequence your picks to flow through the warehouse, in put away the logic would look for the first location in the sequence in which the product would fit.Zone Logic. By breaking down your storage locations into zones you can direct picking,put away, or replenishment to or from specific areas of your warehouse. Since zone logic only designates an area, you will need to combine this with some other type of logic to determine exact location within the zone.Fixed Location. Logic uses predetermined fixed locations per item in picking, put away, and replenishment. Fixed locations are most often used as the primary picking location in piece pick and case-pick operations, however, they can also be used for secondary storage.Random Location. Since computers cannot be truly random (nor would you want them to be) the term random location is a little misleading. Random locations generally refer to areas where products are not stored in designated fixed locations. Like zone logic, you will need some additional logic to determine exact locations.First-in-first-out (FIFO).Directs picking from the oldest inventory first.Last-in-first-out (LIFO).Opposite of FIFO. I didn't think there were any real applications for this logic until a visitor to my site sent an email describing their operation that distributes perishable goods domestically and overseas. They use LIFO for their overseas customers (because of longer in-transit times) and FIFO for their domestic customers.Pick-to-clear. Logic directs picking to the locations with the smallest quantities on hand. This logic is great for space utilization.Reserved Locations. This is used when you want to predetermine specific locations to put away to or pick from. An application for reserved locations would be cross-docking, where you may specify certain quantities of an inbound shipment be moved to specific outbound staging locations or directly to an awaiting outbound trailer.Maximize Cube. Cube logic is found in most WMS systems however it is seldom used. Cube logic basically uses unit dimensions to calculate cube (cubic inches per unit) and then compares this to the cube capacity of the location to determine how much will fit. Now if the units are capable of being stacked into the location in a manner that fills every cubic inch of space in the location, cube logic will work. Since this rarely happens in the real world, cube logic tends to be impractical.Consolidate. Looks to see if there is already a location with the same product stored in it with available capacity. May also create additional moves to consolidate like product stored in multiple locations.Lot Sequence. Used for picking or replenishment, this will use the lot number or lot date to determine locations to pick from or replenish from.It’s very common to combine multiple logic methods to determine the best location. For example you may chose to use pick-to-clear logic within first-in-first-out logic when there aremultiple locations with the same receipt date. You also may change the logic based upon current workload. During busy periods you may chose logic that optimizes productivity while during slower periods you switch to logic that optimizes space utilization.Other Functionality/ConsiderationsWave Picking/Batch Picking/Zone Picking. Support for various picking methods varies from one system to another. In high-volume fulfillment operations, picking logic can be a critical factor in WMS selection. See my article on Order Picking for more info on these methods.Task Interleaving. Task interleaving describes functionality that mixes dissimilar tasks such as picking and put away to obtain maximum productivity. Used primarily infull-pallet-load operations, task interleaving will direct a lift truck operator to put away a pallet on his/her way to the next pick. In large warehouses this can greatly reduce travel time, not only increasing productivity, but also reducing wear on the lift trucks and saving on energy costs by reducing lift truck fuel consumption. Task interleaving is also used with cycle counting programs to coordinate a cycle count with a picking or put away task.Integration with Automated Material Handling Equipment. If you are planning on using automated material handling equipment such as carousels, ASRS units, AGNS,pick-to-light systems, or separation systems, you’ll want to consider this during the software selection process. Since these types of automation are very expensive and are usually a core component of your warehouse, you may find that the equipment will drive the selection of the WMS. As with automated data collection, you should be working closely with the equipment manufacturers during the software selection process.Advanced Shipment Notifications (ASN). If your vendors are capable of sending advanced shipment notifications (preferably electronically) and attaching compliance labels to the shipments you will want to make sure that the WMS can use this to automate your receiving process. In addition, if you have requirements to provide ASNs for customers, you will also want to verify this functionality.Yard Management. Yard management describes the function of managing the contents (inventory) of trailers parked outside the warehouse, or the empty trailers themselves. Yard management is generally associated with cross docking operations and may include the management of both inbound and outbound trailers.Labor Tracking/Capacity Planning. Some WMS systems provide functionality related to labor reporting and capacity planning. Anyone that has worked in manufacturing should be familiar with this type of logic. Basically, you set up standard labor hours and machine (usually lift trucks) hours per task and set the available labor and machine hours per shift. The WMS system will use this info to determine capacity and load. Manufacturing has been using capacity planning for decades with mixed results. The need to factor in efficiency and utilization to determine rated capacity is an example of the shortcomings of this process. Not that I’m necessarily against capacity planning in warehousing, I just think most operations don’t really need it and can avoid the disappointment of trying to make it work. I am, however, a big advocate of labor tracking for individual productivity measurement. Most WMS maintain enough data to create productivity reporting. Since productivity is measured differently from one operation to another you can assume you will have to do some minor modifications here (usually in the form of custom reporting).Integration with existing accounting/ERP systems. Unless the WMS vendor has already created a specific interface with your accounting/ERP system (such as those provided by an approved business partner) you can expect to spend some significant programming dollars here. While we are all hoping that integration issues will be magically resolved someday by a standardized interface, we isn’t there yet. Ideally you’ll want an integrator that has already integrated the WMS you chose with the business software you are using. Since this is not always possible you at least want an integrator that is very familiar with one of the systems.WMS + everything else = ? As I mentioned at the beginning of this article, a lot of other modules are being added to WMS packages. These would include full financials, light manufacturing, transportation management, purchasing, and sales order management. I don’t see this as a unilateral move of WMS from an add-on module to a core system, but rather an optional approach that has applications in specific industries such as 3PLs. Using ERP systems as a point of reference, it is unlikely that this add-on functionality will match the functionality of best-of-breed applications available separately. If warehousing/distribution is your core business function and you don’t want to have to deal with the integration issues of incorporating separate financials, order processing, etc. you may find these WMS based business systems are a good fit.Implementation TipsOutside of the standard “don’t underestimate”, “thoroughly test”, “train, train, train” implementation tips that apply to any business software installation ,it’s important toemphasize that WMS are very data dependent and restrictive by design. That is, you need to have all of the various data elements in place for the system to function properly. And, when they are in place, you must operate within the set parameters.When implementing a WMS, you are adding an additional layer of technology onto your system. And with each layer of technology there is additional overhead and additional sources of potential problems. Now don’t take this as a condemnation of Warehouse Management Systems. Coming from a warehousing background I definitely appreciate the functionality WMS have to offer, and, in many warehouses, this functionality is essential to their ability to serve their customers and remain competitive. It’s just important to note that every solution has its downsides and having a good understanding of the potential implications will allow managers to make better decisions related to the levels of technology that best suits their unique environment.仓库管理系统( WMS )仓库管理系统( WMS )的演变与许多其他软件解决方案是非常相似的。

相关文档
最新文档