精益物流经典案例Human side of lean logistics
精益物流管理改善案例
精益物流管理改善案例在精益生产改善中,要实现一个流的改善,除了完成制造流程的改善,还必需完成物流管理的改善,即供应商的物流管理改善。
物流改善是一种高端流程改善,分为内部物流改善和外部物流改善两种。
下面通过某汽车厂供应商的改善案例,来说明“一个流”内部物流改善的基本特点。
这家汽车厂是负责电装零件的硬模制造,其制造方法完全是批量式生产,以500~700个零件为一个批次装入托盘,用叉车搬运。
该厂的经营状况很不好,是赤字经营,因此期望借助体制变革来改善经营的状态。
于是,该厂开头了“一个流”改善活动。
1、改善前改善前的加工工艺和流淌方法,其主要特征是:·布局:是将内容相同的工作集中起来的“工作车间型”布局。
·流淌方法:以500个~700个零件为单位的批量搬运。
·作业者:只能操作单一工序的单能工。
·机械:有与批量大小相匹配的大型机械若干。
我们再看一下这种状况下模具产品A的基本生产规格数据:人员12名,制造周期3天。
这种状况下会产生3天的半成品库存,工件在各工序之间的移动由特地的搬运工用叉车搬运。
在这种制造方式中,问题最大的是大型喷砂机,工厂内全部的零件最终都会集中到这台喷砂机,造成它四周的半成品积累如山。
另外,由于是大批量,同时进行喷砂处理,所以在喷砂时工件简单相互碰撞,从而导致出现许多划伤、打痕的不良品。
而为了区分良品和不良品,在喷砂完成后还需要进行检查,于是又增加了检查工作。
2、改善后以产品A为样板,终止一直以来的“工作车间型”布局,切换成重视产品流程的“流水化”布局;另外,将人工去除毛刺的工序全部终止,改成使用压机及多轴钻床的机械作业。
通过这些方法,将人工作业彻底革除。
改善流程方法的要点如下:·布局:采用重视产品流淌的“流淌化”布局,实行流水线化。
·流淌方法:以500个为单位进行批量制造,从压合到出货全部采用单个流淌。
·作业者:可以操作从压合到出货的全部7个工程,成为多能工。
管理体系精益生产之精益物流
针对现有问题,制定具体的改进计划和措施。
2024/1/25
15
优化物流流程
2024/1/25
消除浪费
通过精益思想和方法,消除物流流程中的浪费现象,如等待、运 输、库存等。
简化流程
对物流流程进行简化和优化,提高流程效率和响应速度。
标准化管理
对物流流程进行标准化管理,确保流程的稳定性和可复制性。
01
目标差异
2024/1/25
02
精益物流追求消除浪费、提 高效率,以顾客为中心。
03
传统物流主要关注成本降低 和运输效率。
7
精益物流与传统物流的对比
2024/1/25
01
流程差异
02
精益物流强调价值流分析和拉动式系统,根据实际 需求进行生产和配送。
03
传统物流通常采用推动式生产,容易产生过度生产 和库存积压。
25
人力资源短缺问题
01
人力资源在精益物流中的地位
员工是企业最重要的资源之一,对于实现精益物流至关重要。
02
人力资源短缺的影响
如工作效率下降、服务质量降低、员工流失率增加等。
2024/1/25
03
解决方案
制定完善的人力资源计划,包括招聘、培训、激励等方面;加强企业文
化建设,提高员工归属感和忠诚度;推行员工多技能培养,提高员工适
应性和工作效率。
26
06
精益物流的未来发展趋势
2024/1/25
27
智能化发展趋势
1 2
物流自动化
通过自动化设备和技术实现物流过程的自动化, 提高物流效率和准确性。
物流信息化
借助信息技术手段,实现物流信息的实时传递和 处理,提高物流透明度和协同效率。
工业物流行业精益化管理实践案例
工业物流行业精益化管理实践案例第一章精益化管理概述 (3)1.1 精益化管理的概念 (3)1.2 精益化管理在工业物流中的应用 (3)1.2.1 优化物流流程 (3)1.2.2 提高库存管理效率 (3)1.2.3 提升物流设备利用率 (3)1.2.4 强化物流信息化建设 (3)1.2.5 优化物流组织结构 (3)1.2.6 培养物流人才 (4)第二章精益化管理的实施准备 (4)2.1 精益化管理实施前的现状分析 (4)2.2 精益化管理团队的构建 (4)2.3 精益化管理项目的选定与策划 (5)第三章价值流分析 (5)3.1 价值流的概念及分类 (5)3.2 价值流图的绘制方法 (5)3.3 价值流分析与优化 (6)第四章流程优化 (6)4.1 流程优化的原则与方法 (6)4.1.1 原则 (6)4.1.2 方法 (6)4.2 流程重构与流程简化 (7)4.2.1 流程重构 (7)4.2.2 流程简化 (7)4.3 流程优化案例分析 (7)第五章库存管理 (8)5.1 库存管理的基本原则 (8)5.2 库存控制策略 (8)5.3 库存优化实践 (9)第六章人力资源管理 (9)6.1 人力资源管理在精益化管理中的地位 (9)6.2 员工培训与能力提升 (10)6.3 激励机制与绩效评价 (10)第七章质量管理 (10)7.1 质量管理的核心观念 (10)7.1.1 质量第一 (10)7.1.2 客户满意度 (10)7.1.3 持续改进 (11)7.2 质量控制方法与工具 (11)7.2.1 全面质量管理(TQM) (11)7.2.2 统计过程控制(SPC) (11)7.2.3 六西格玛管理 (11)7.2.4 ISO 9001质量管理体系 (11)7.3 质量改进实践 (11)7.3.1 流程优化 (11)7.3.2 供应商管理 (11)7.3.3 内部培训与考核 (11)7.3.4 质量数据分析 (11)7.3.5 客户反馈与改进 (12)第八章设备管理 (12)8.1 设备维护与保养 (12)8.1.1 概述 (12)8.1.2 维护与保养内容 (12)8.1.3 维护与保养措施 (12)8.2 设备故障分析与处理 (12)8.2.1 故障分类 (12)8.2.2 故障分析方法 (12)8.2.3 故障处理措施 (13)8.3 设备管理优化 (13)8.3.1 设备选型与采购 (13)8.3.2 设备安装与调试 (13)8.3.3 设备运行与维护 (13)8.3.4 设备更新与淘汰 (13)第九章供应链协同 (13)9.1 供应链协同管理的重要性 (13)9.1.1 提升企业核心竞争力 (13)9.1.2 促进产业链协同发展 (14)9.1.3 提高市场响应速度 (14)9.2 供应链协同策略与实践 (14)9.2.1 制定合理的供应链协同策略 (14)9.2.2 构建供应链协同平台 (14)9.2.3 加强供应链合作伙伴关系管理 (14)9.2.4 实施供应链协同项目 (14)9.3 供应链协同效果评估 (14)9.3.1 评估指标体系构建 (14)9.3.2 评估方法选择与应用 (14)9.3.3 评估结果分析与应用 (14)9.3.4 持续优化与改进 (15)第十章精益化管理成果评估与持续改进 (15)10.1 精益化管理成果评价指标 (15)10.2 精益化管理成果评估方法 (15)10.3 持续改进与优化策略 (15)第一章精益化管理概述1.1 精益化管理的概念精益化管理,源于日本的精益生产方式(Lean Production),是一种以提高生产效率、降低成本、优化资源配置为核心的管理理念。
智能物流人工智能改善物流运输的案例
智能物流人工智能改善物流运输的案例智能物流领域的快速发展,为物流运输行业带来了许多创新和改善。
其中,人工智能技术的应用尤为重要,它能够提供智能化的解决方案,优化物流运输流程,提高效率并降低成本。
以下将介绍几个关于智能物流人工智能改善物流运输的案例。
1. 智能仓储管理系统传统的仓储管理系统通常依赖人工的输入和处理,容易出现错误和延误。
而采用人工智能技术的智能仓储管理系统可以实现自动化、智能化操作。
通过使用物联网传感器和摄像头监控,人工智能系统可以实时监测货物的存储位置和数量,并利用数据分析技术进行预测和优化。
这不仅提高了仓库管理的准确性和效率,还降低了人力成本。
2. 智能调度和路径规划人工智能技术在智能物流中发挥了重要的作用,尤其是在调度和路径规划方面。
传统的调度方法通常是基于人工经验和规则,容易受到主观因素和不可预见的情况影响。
而利用人工智能技术,可以通过大数据分析和机器学习算法,实现智能化的调度和路径规划。
系统可以根据实时数据和历史数据,预测最佳路线和最优时间窗口,以提高物流配送的效率和准确性。
3. 智能车辆管理人工智能技术还可以应用于智能车辆管理,通过实时监控和分析,提高车辆调度的效率和准确性。
智能车辆管理系统可以实时跟踪运输车辆的位置和状态,并通过人工智能算法进行优化调度。
系统可以根据实时道路交通状况和货物的优先级,智能地分配运输任务,并提供最佳行车路线。
这样可以节省时间和燃料消耗,降低运输成本。
4. 智能配送机器人智能配送机器人是智能物流领域的又一创新案例。
配送机器人可以通过导航和感应技术,智能地规划路径并自主完成货物的分拣和运输任务。
这不仅提高了配送速度和准确性,还减轻了人工劳动强度。
通过与人工智能中心的连接,配送机器人可以实现信息的共享和协同工作,更好地适应动态的运输环境。
总结:智能物流人工智能的应用,改善了物流运输的各个环节,提高了运输的效率和准确性。
智能仓储管理系统、智能调度和路径规划、智能车辆管理以及智能配送机器人等创新案例,为物流行业带来了无限可能。
精益物流案例
以四步法实施精益物料搬运系统,带来绩效的飞跃!追求精益转变的公司通常都从单元化生产开始,实现戏剧性和快速的改进。
但是,除非它们替换掉给生产单元供应的传统物料搬运系统,它们收益的持续性或者迈向绩效提升的更高阶段的能力会受到显著制约。
一个实例是,位于印第安纳州Kokomo市的Delphi Delco Electronics下属的两家工厂,通过有系统地对它们的采购部件实施了精益物料搬运系统后,意识到了这些结合的成效:实施精益物料搬运系统的改进成绩表“我们完全重新设计了这个库存超市,”工厂的运营经理Kathryn McCombs说。
四个分隔的分别保存四家生产区域需要的采购件的库存超市被合并成了一个,这个超市的位置靠近收货码头。
而那些过去存放于制造区域、一天仅一次或两次取走的成品被移至一个靠近发货码头的成品超市。
“我们还采用了基于时间的路线”以将采购件运送给生产单元,并且更加高频率地取走成品,McCombs说。
在LEI(精益企业研究所)和精益同行成员的一次参观期间,通过从库存超市,发货和收货区,以及一个为系列音频设备制造主电路板的价值流的参观,物料搬运系统的运营和执行方式被清楚地解释了。
这个不停扩张的工厂和产品事业部总部联合体制造很多种的汽车电子产品,包括为无线电、集成电路、传感器、发动机控制模块和车内空气质量控制等所需要的电路板装配。
过去时光在实现这一新的系统前,装着采购件的拖车和装着成品的托盘阻碍了过道,并被紧靠于附近的锁柜堆着,音频区域的运营经理Joe Huntzinger回忆道。
“现在,零部件通过托盘和推车进入,产成品通过拖车流出,”他说。
“我们仅仅保有未来30到40分钟所需的原材料。
”过道和锁柜区都非常清洁。
“它真地,真地清空了你的生产场地,”Huntzinger指出。
“并且当你使车间清空时,它会使得那些不正常的情况显而易见,缩短了你的反应时间,这时你会真正看到员工们的士气大增。
”从运营管理的观点来看,一个可靠的精益物料搬运系统通过消除混乱和额外的生产线旁的库存而产生出益处。
智能物流人工智能改善物流运输的案例
智能物流人工智能改善物流运输的案例智能物流:人工智能改善物流运输的案例近年来,随着人工智能技术的飞速发展,智能物流已经成为物流行业的热门话题。
人工智能在物流运输中的广泛应用,不仅提高了运输效率和服务质量,还为物流企业带来了更多的商机。
本文将以一些案例为基础,探讨智能物流如何改善物流运输的效率。
一、物流调度优化智能物流利用人工智能技术进行调度优化,能够实时监控车辆的位置、路线和货物的运输情况。
通过分析和预测交通状况、运力需求等因素,智能物流系统可以自动调整运输方案,实现最佳的货运效果。
以某家物流企业为例,他们采用了基于人工智能的物流调度系统,通过智能算法匹配货车和货物,合理安排线路和配送点,有效降低了成本,并提高了配送效率。
二、智能仓储管理传统的物流仓储管理往往需要大量的人力投入,容易存在人为差错和低效率的问题。
而通过引入人工智能技术,智能仓储管理系统能够实现货物的自动分类、存储和装载。
某大型电商企业采用了智能仓储管理系统,通过物流机器人和自动化设备实现了货物的快速入库和出库,不仅提高了货物流转效率,还降低了运营成本。
三、智能运输工具随着无人车技术的不断进步,智能运输工具已经开始在物流运输中发挥重要作用。
无人车不仅可以自主驾驶,减少了司机的工作强度,还可以实时监测路况、降低事故风险。
一家新兴的物流企业通过引入无人车系统,实现了货物的高效运输,并且大幅度降低了运输成本和车辆维护费用。
四、物流信息共享传统的物流行业因为信息的不对称,导致信息传递效率低下。
而智能物流通过信息共享平台,实现物流信息的快速传递和共享。
如某家物流云平台,通过整合各方的物流信息,包括仓库、运输、配送等环节,实现了物流信息的实时可查,大大提升了信息的透明度和准确性,减少了物流环节的沟通和等待时间。
五、风险预测和管理智能物流还可以通过人工智能技术进行风险预测和管理。
通过对历史数据和实时数据的分析,智能物流系统可以预测可能出现的问题,并及时采取措施进行干预,减少物流风险的发生。
结合实际案例说明精益物流基本框架的主要内容
结合实际案例说明精益物流基本框架的主要内容精益物流(Lean Logistics)是一种追求高效、减少浪费的物流管理理念,其基本框架主要包括以下几个方面:1. 价值流分析:价值流是产品从原材料到最终消费者整个过程中的所有活动,包括原材料采购、生产、运输、仓储、配送等。
精益物流的核心是价值流分析,通过对整个价值流的详细分析,识别出浪费的环节和活动,然后通过消除或减少这些浪费来提高效率和降低成本。
例如,某公司发现其运输过程中存在大量的等待和空驶时间,这导致了运输成本的浪费。
通过价值流分析,公司发现等待时间是由于生产计划不准确和生产进度不稳定导致的。
于是,公司通过改进生产计划和提高生产稳定性,减少了等待时间,从而降低了运输成本。
2. 持续改进:精益物流强调持续改进的理念,不断寻找可以改进的环节和活动,以提高效率和降低成本。
持续改进的方法包括采用自动化技术、引入智能物流系统、优化仓库布局等。
例如,某公司通过引入智能物流系统,实现了对整个价值流的实时监控和数据分析。
通过实时监控,公司可以及时发现和解决潜在的问题;通过数据分析,公司可以发现效率低下的环节和活动,并进行针对性的改进。
3. 客户需求驱动:精益物流强调以客户需求为驱动,通过快速响应客户需求来提高客户满意度和降低成本。
这需要建立灵活、高效的信息系统,实现信息共享和快速响应。
例如,某公司通过建立智能化的信息系统,实现了对客户需求的实时响应。
当客户下单后,系统会自动根据历史数据和预测算法计算出所需的生产时间和数量,并实时反馈给生产部门。
生产部门根据实时反馈进行生产计划安排,确保快速响应客户需求。
4. 团队合作:精益物流强调团队合作的精神,鼓励员工跨部门协作,共同解决问题。
这需要建立良好的沟通机制和激励机制,提高员工的积极性和参与度。
例如,某公司通过建立跨部门的项目组,实现了团队合作和共同解决问题。
项目组由来自不同部门的员工组成,他们共同制定项目计划、分解任务、制定时间表等。
精益物流案例:中国邮政精益物流系统研究
精益物流案例:中国邮政精益物流系统研究标签: 分析案例精益物流案例精益物流系统精益物流摘要:中国邮政精益物流系统属于一种拉动型的物流系统,它与以顾客需求为驱动的供应链相一致,物流活动过程中的价值物流流动要靠下游顾客来拉动;中国邮政精益物流是高质量的物流系统,系统中广泛深入的服务网络以及电子化的信息流保证了信息流动的速度与准确性,还可有效减少冗余信息传递减少作业环节,使得物流服务准时、准确、快速,具备高质量的特性中国邮政物流的发展,无疑为中国邮政体制改革之后的强劲发展起到了倍增器的作用,并且为中国物流业的发展及其进一步扩大市场竞争产生的积极的影响。
国家邮政局物流发展实施方案确定将邮政物流市场定位于电子、医药、日用护理、出版、烟草等行业中的高附加值、小何种、小质量、多批次、高时效性的奖品是符合邮政自身发展特点的,这些产品所具有的特点将决定了中国邮政物流朝着小而精的方向发展;同时,由于电子、医药、图书等产品具有不同的物流运作特征,这又决定了邮政物流服务的多样性与个性化。
因此,在邮政物流中引入精益思想,提供精益的物流服务将为广阔的中国邮政物流发展空间提供理论与实践上的支撑。
物流的涉及的领域涵盖面广、系统性强,特别是邮政业早已经形成的既定的服务网络为中国的邮政物流发展得到实惠的同时,也带来了不少弊端。
我国邮政物流的研究和实践起步晚、投入相对较少、基础弱、系统柔且有关邮政物流理论的研究相对滞后,有很多还是照搬照套地方企业的理论。
因此,中国邮政物流发展必须引入精益物流的思想,并且在此基础上重新审视邮政物流的系统性,这样才能兴利除弊,真正调动我国邮政物流业的长足发展。
一、精益物流概述(一)精益物流原理及其内涵精益物流来源于精益制造。
经过日本丰田汽车与美国麻省理工学院教授先后不断研究总结创立了精益思想。
精益思想是指运用现代管理方法和手段,以社会需求为依据,以充分发挥人的作用为根本,有效配置和合理使用企业资源,最大限度地为企业谋求经济效益的一种新型经营管理理念。
人工智能在物流行业中的应用案例
人工智能在物流行业中的应用案例引言:随着科技的快速发展,人工智能(Artificial Intelligence,简称AI)正逐渐成为各个行业中不可或缺的一部分。
物流行业也不例外,AI的应用正在为物流企业带来许多颠覆性的改变。
本文将介绍几个人工智能在物流行业中的应用案例,展示AI是如何实现效率提升、成本降低以及客户满意度提高的。
案例一:智能预测需求人工智能技术可以通过对大量历史数据进行分析和学习,帮助物流企业准确预测需求量。
以传统的货物运输为例,过去物流企业通常采用人工经验和统计数据进行需求预测,但结果往往不准确,导致了过剩或者缺货的情况产生。
而现在通过人工智能技术,物流企业可以对历史数据、天气、节假日等多个因素进行智能分析,预测需求量,及时采取相应措施,以最大程度地减少资源的浪费和成本的增加。
案例二:智能路径选择物流行业中,货物的运输路径对于效率和成本的控制至关重要。
传统的路径选择通常只能基于一些固定的条件,如距离、交通状况等。
而人工智能技术可以结合实时数据和深度学习算法,对不同的路径进行智能分析,并根据实时交通情况和多个因素综合考量,选择最佳的路径。
这样一来,物流企业可以大大提高送货速度,同时减少油耗和运输成本。
案例三:智能预警与维护物流行业中的车辆和机械设备往往承担着重要的运输任务,一旦发生故障将导致工作停滞和延误。
通过人工智能技术,物流企业可以设立智能监控系统,对车辆和设备的状态进行实时监测和分析。
一旦发现异常情况,系统将能够及时发出警报并指导企业采取维护措施,以减少故障的风险。
这样,物流企业可以避免因故障而导致的运输延误和额外维修成本,保持良好的运营状态。
案例四:智能仓储管理物流行业中的仓储管理一直是一项繁琐而复杂的任务。
人工智能技术可以通过机器视觉和自动化技术,对仓库内货物进行智能识别和管理。
例如,AI可以利用摄像头和传感器对货物进行识别和定位,准确记录货物数量和位置。
此外,AI还可以应用机器学习算法,预测出货物流量高峰,并提前做好货物调度,以提高仓库的工作效率和货物出入库的速度。
精益物流案例
精益物流案例
精益物流是一种以最小化浪费为目标的物流管理方法,通过精益原则和工具来
提高物流效率和降低成本。
下面我们将以一个实际案例来介绍精益物流在企业中的应用。
某电子产品制造企业在生产过程中,存在着物流运输效率低、库存过多、生产
周期长等问题。
为了解决这些问题,企业引入了精益物流管理方法。
首先,企业对生产流程进行了价值流映射,找出了生产过程中的浪费环节,比
如等待时间、过度生产、库存积压等。
然后,企业采取了一系列措施来优化物流管理。
例如,采用精准物料投放和拉动生产方式,避免了过度生产和库存积压;优化供应商配送计划,减少了等待时间和运输成本;实施了精益生产计划,缩短了生产周期。
通过精益物流管理,企业取得了显著的成效。
首先,生产效率得到了提高,生
产周期缩短了30%,库存周转率提高了50%。
其次,物流运输成本大幅降低,等
待时间减少了40%,运输成本降低了20%。
最后,产品质量得到了提升,客户满
意度大幅提高。
精益物流管理的成功案例表明,通过精益物流管理方法,企业能够优化物流流程,提高生产效率,降低成本,提升产品质量,增强市场竞争力。
因此,我们鼓励更多的企业在物流管理中引入精益原则,不断优化物流流程,实现持续改善和增值。
以上就是关于精益物流案例的介绍,希望对大家有所启发。
精益物流管理是一
个不断优化、改进的过程,需要企业不断学习和实践,才能取得更好的效果。
希望各位在实践中能够灵活运用精益物流管理方法,为企业的发展注入新的活力。
精益物流案例
精益物流案例精益物流是一种以极大地减少浪费为目标的物流管理方法,它通过精益生产的理念和方法,对物流过程进行优化,以提高效率、降低成本、缩短交付周期,从而提升客户满意度和竞争力。
下面我们就来看一个精益物流的案例。
某电子产品制造公司在生产过程中,存在着原材料库存过多、生产周期长、产品质量不稳定等问题,造成了较大的浪费。
为了解决这些问题,公司引入了精益物流管理方法。
首先,公司对原材料库存进行了优化。
通过精益物流的“拉动生产”理念,公司不再按照预测生产,而是根据客户订单的实际需求进行生产,从而避免了过多的原材料库存。
同时,公司与供应商建立了紧密的合作关系,实行“Just In Time”原则,确保原材料能够及时供应,减少了库存积压和资金占用。
其次,公司优化了生产流程。
通过价值流映射和精益生产的工具,公司发现了生产过程中的浪费环节,并采取了相应的改进措施,如精细化生产计划、标准化作业流程、设备故障预防等,从而缩短了生产周期,提高了生产效率。
另外,公司加强了质量管理。
通过实施精益物流的质量管理工具,如故障模式效应分析(FMEA)、持续改进(Kaizen)等,公司对产品质量进行了全面的控制和改进,提高了产品的稳定性和可靠性,减少了因质量问题而引起的浪费。
最后,公司实施了精益物流的全员参与和持续改进机制。
公司培训了全员精益物流知识和技能,建立了绩效考核和激励机制,鼓励员工参与到精益改进中来。
同时,公司建立了精益物流的持续改进机制,定期开展精益生产现场管理和问题解决活动,不断挖掘和消除各种浪费,持续提升物流效率和服务水平。
通过精益物流的全面实施,该电子产品制造公司取得了显著的成效。
原材料库存减少了50%,生产周期缩短了30%,产品质量稳定性大幅提高,客户满意度明显提升。
同时,公司的生产成本也大幅降低,整体竞争力得到了明显提升。
综上所述,精益物流作为一种现代化的物流管理方法,在实际应用中取得了显著的效果,为企业提供了有效的管理思路和方法。
案例12--基于循环取货
案例12 基于循环取货(Milk-run)方式的零部件配送小李今年硕士毕业了,经过重重面试和严格考核,终于获得安吉零部件的入职通知书。
小李本科和硕士专业均是物流工程与管理,公司人事部门考虑到小李的专业背景,安排小李进入了运输管理部负责零部件物流配送方面的相关工作。
小李刚从学校踏入社会,就获得了这样一个理想的平台,满怀着憧憬,希望能将自己所学习到的专业知识运用到实践中去,实现自己的价值。
当然,小李也意识到,自己在学校的所学是远远不够的,需要在实践中对新的知识进行不断的摸索。
这点在入职培训的阶段,小李就已经深深的体会到了。
在第一次入职培训中,运输管理部的经理大顾给新进员工介绍了汽车零部件物流的一些基础性的行业背景。
汽车零部件物流是各个环节必须衔接得十分流畅的高技术物流行业,是国际物流业公认的最复杂、最具专业性的物流领域,特别是零部件的入厂物流更体现出极高的专业性和复杂性。
近年来,循环取货的配送模式(Milk-run)在安吉零部件入厂物流业务方面得到了广泛的应用和发展,给汽车制造业供应链管理带来重大流程革命及变动。
供应链的管理和优化,可为企业带来巨大的效益。
在企业内部,通过采用现代化手段,建立完善的物流网络体系,使各企业更加适应新的市场环境。
在企业外部,通过对供应链的协调管理,以供应商为中心,以网络管理为核心,利用现代科技手段,准确及时的获取信息,迅速沟通零部件供应商和整车生产商,并依靠供应链的整体优势,共享信息资源,发挥供应链的整体优势提升企业核心竞争力。
大顾在第一次培训会的最后,也给大家提出了一点要求,希望大家能够在培训期间,在公司内与一些老员工多多交流,加深自己对公司业务的了解,并且根据自己掌握的专业知识背景,结合公司的业务发展,提出自己的一些想法或者建议。
小李在硕士阶段的研究方向便是围绕车辆路径问题(Vehicle Route Problem,简称VRP)展开的,因此他对公司在零部件入厂物流方面所采用的循环取货的运作模式有着浓厚的兴趣。
精益物流改善(流线)课件
ONE
KEEP VIEW
精益物流改善(流ALOGUE
目 录
• 精益物流概述 • 流线物流改善方法 • 精益物流实施步骤 • 精益物流工具与技术 • 精益物流案例分析 • 未来展望与挑战
PART 01
精益物流概述
定义与特点
定义
精益物流是一种以客户需求为导向, 通过消除浪费、持续改进和降低成本 来提高效率和效益的物流管理方式。
01
5S管理是精益物流中的重要工具,包括整理(Sort)、整顿( Straighten)、清扫(Sweep)、清洁(Sanitize)和素养(
Sustain)五个方面。
02
通过5S管理,企业可以优化现场环境,提高工作效率,减 少浪费,并保障员工安全。
03
实施5S管理需要制定相应的规章制度,定期检查和评估, 确保持续改进。
特点
精益物流强调准时、准确、快速响应 ,注重客户需求和满意度,追求零库 存和高效物流运作。
精益物流的重要性
提高企业竞争力
01
通过降低成本、提高效率、优化流程等方式,精益物流可以帮
助企业在激烈的市场竞争中获得优势。
提升客户满意度
02
精益物流注重客户需求和满意度,通过快速响应和准确配送,
提高客户对企业的信任和忠诚度。
随着人口老龄化和劳动力短缺问题的加剧 ,物流行业的人力成本将不断上升,企业 需要寻找新的解决方案来降低人力成本。
客户需求多样化
全球化竞争
随着消费市场的不断升级,客户对物流服 务的需求越来越多样化,要求企业提供更 加个性化和高效的物流服务。
随着全球化进程的加速,物流企业需要面 对来自全球的竞争对手,需要不断提高自 身的核心竞争力,以在国际市场上立足。
人工智能在物流管理中的应用案例分析
人工智能在物流管理中的应用案例分析随着科技的不断发展,人工智能(Artificial Intelligence,AI)已经成为现代物流管理中不可或缺的一部分。
借助人工智能技术,物流企业能够有效地提高运输效率、降低成本,并提供更好的客户服务。
本文将介绍几个在物流管理中成功应用人工智能的案例,并分析其带来的益处。
1. 货运路线优化物流管理中的一个重要挑战是如何选择最佳货运路线,以确保货物能够以最快的速度运输到目的地。
人工智能算法可以分析历史运输数据、实时交通信息和天气预报等数据,并通过机器学习算法,预测最佳货运路线。
例如,美国一家物流企业利用人工智能技术开发了一款路线优化软件,成功降低了运输时间和成本。
通过准确预测交通拥堵、避开道路工程等因素,该企业能够更好地规划货运路线,提高运输效率,同时减少了燃油消耗和二氧化碳排放量。
2. 智能仓库管理在传统的物流仓库中,操作员通常需要花费大量时间搜索和配对货物,这不仅浪费了人力资源,还降低了仓库的效率。
借助人工智能技术,物流企业可以实现智能仓库管理,提高仓库操作的效率和准确性。
例如,一家中国物流企业引入了机器人和人工智能技术,实现了自动盘点和货物配对。
机器人可以通过计算机视觉技术自动识别货物的条形码或特征,将其定位并配对。
这项技术不仅减少了人工错误,还大大提高了仓库的工作效率。
3. 预测需求和库存管理对于物流企业来说,准确预测需求并合理管理库存是提供良好客户服务的关键。
人工智能可以通过系统分析历史销售数据、客户购买模式和市场趋势等信息,以预测未来的需求,并帮助企业决定适当的库存水平。
例如,亚马逊利用人工智能技术分析海量数据,推荐相关产品给客户并预测顾客的购买习惯。
在预测需求和库存管理方面,亚马逊的成功案例表明,人工智能可以帮助物流企业提高客户满意度和利润。
4. 自动驾驶技术自动驾驶技术是近年来物流行业中的热门话题。
人工智能算法和传感器技术的结合,使得车辆能够自主驾驶而无需人工干预。
物流行业岗位人员精益管理赢先进事迹
物流行业岗位人员精益管理赢先进事迹精益管理是一种管理方法,旨在通过持续改善和减少浪费,提高效率和质量。
在物流行业,精益管理的应用可以减少运输时间,提高货物安全性和准时交付,降低成本,并增强公司竞争力。
以下是关于物流行业岗位人员精益管理赢得先进事迹的介绍。
Ⅰ. 引言在当今全球经济快速发展的背景下,物流行业的重要性越来越受到人们的重视。
为了满足客户需求并保持竞争优势,物流企业需要高效的管理和服务。
精益管理在物流行业中被广泛应用,为企业带来了持续的改进和增长。
Ⅱ. 精益管理在物流行业的应用1. 浪费排除物流行业中存在着各种各样的浪费,如不必要的库存、长时间等待和繁琐的运作程序。
通过精益管理方法,物流行业可以识别和排除这些浪费,从而提高工作效率和客户满意度。
2. 价值流分析通过对物流价值流的分析,物流人员可以准确了解整个供应链的每个环节,并找到改进的机会。
例如,根据价值流分析的结果,物流企业可以优化运输路线、合理配置车辆和设备,从而提高运输效率和减少成本。
3. 按需生产精益管理强调按需生产,即在订单到来之前不生产产品或不安排运输。
通过准确掌握市场需求情况,物流企业可以避免库存积压、滞销等问题,同时提高资源利用率和客户满意度。
4. 持续改进精益管理注重持续改进,企业应该鼓励员工提出改进建议,并及时采纳和实施。
通过持续改进,物流企业可以不断优化流程、提高工作效率和质量,从而在市场竞争中占据优势。
Ⅲ. 先进物流岗位人员的精益管理事迹以下是两个在物流行业中应用精益管理的岗位人员的事迹:1. 张先生是一名物流企业的仓储经理。
他通过价值流分析找到了仓储环节的改进点,并引入了仓库智能管理系统,实现了库存信息的实时监控和准确管理。
这不仅提高了仓储效率,还降低了库存成本,为企业节省了大量资金。
2. 李女士是一名物流公司的运输调度员。
她通过精益管理思维,重新规划了运输路线,并引入了实时监控系统,实现了对车辆的实时跟踪和运输过程的可视化。
人工智能在物流管理中的应用案例
人工智能在物流管理中的应用案例一、背景介绍随着科技的快速发展和全球化贸易的不断扩大,物流管理变得愈发复杂。
为了提高物流运输的效率和准确性,人工智能(AI)在物流行业中得到了广泛的应用。
本文将介绍人工智能在物流管理中的应用案例,探讨其对物流行业带来的积极影响。
二、自动路线规划与路径优化物流运输中,合理的路线规划和路径优化对运输效率至关重要。
传统物流管理中,人员需要手动进行路线规划和优化,容易出现错误与不合理的路线。
而借助人工智能技术,物流公司可以通过数据分析和算法优化,实现自动化的路线规划和路径优化。
AI可以根据运输需求、路况、货物重量等因素,智能计算最佳路线,提高运输效率,减少时间和资源浪费。
三、智能仓储管理在传统的物流仓储管理中,人们需要花费大量时间和精力进行货物的分拣、堆放和盘点。
然而,人工智能技术可以实现智能仓储管理,通过机器人、自动化设备和传感器等技术实现仓库的自动化操作。
AI可以根据货物的属性和目的地,智能分拣和堆放货物,减少人工错误和资源浪费。
同时,通过运用机器学习算法,AI还能根据货物的销售数据进行需求预测,帮助物流公司更好地管理库存。
四、智能运输监控在物流运输过程中,监控车辆和货物状态对于物流公司至关重要。
传统的手动监控往往效率低下且容易出错。
而人工智能技术可以实现智能运输监控。
通过安装传感器和定位设备等技术,AI可以实时监控车辆的位置、速度和行驶路线,为物流公司提供精确的车辆监控信息。
同时,AI还可以通过图像识别技术监控货物的状况,如温度、湿度和损坏程度,保障货物安全。
五、智能客户服务物流行业的客户服务是一项关键的工作,也是客户满意度的重要指标。
传统的客户服务常常需要大量的人工操作,效率低下且容易出错。
而借助人工智能技术,物流公司可以实现智能客户服务。
AI可以通过自然语言处理技术回答客户的咨询和问题,提供准确和及时的信息。
此外,AI还可以通过分析客户的历史订单和偏好,为客户提供个性化的服务,提升客户体验。
人工智能在物流行业的应用案例
人工智能在物流行业的应用案例随着科技的不断发展,人工智能(Artificial Intelligence,简称AI)已经成为物流行业日益重要的一部分。
人工智能的应用,使得物流管理更加智能化、高效化,为提升物流运输的效率和准确性提供了强大的支持。
本文将介绍几个人工智能在物流行业的应用案例。
1. 预测需求与优化路径物流需求的准确预测和路径的优化对于物流企业至关重要。
传统的需求预测和路径规划方法可能存在偏差和低效的问题,而人工智能在这方面的应用能够提供更为精准和高效的解决方案。
人工智能可以通过分析海量历史数据和实时数据,建立预测模型来预测未来的需求,从而帮助物流企业合理安排储备和运力,以减少库存和准时满足客户需求。
此外,人工智能还可以通过深度学习和智能算法,优化路径规划。
它可以综合考虑多个因素,如运输距离、交通状况、货物特性等,为物流企业提供最优的运输路径,从而降低运输成本,提高效率。
2. 智能仓储管理在物流行业中,仓储管理是非常重要的环节。
传统的仓储管理往往依赖于人工操作,容易出现出入库错误、库存管理混乱等问题。
而人工智能的应用可以极大地提高仓储管理的准确性和效率。
人工智能可以通过视觉识别技术,对货物进行自动识别和分类,避免了人工盘点的错误和耗时。
同时,智能仓储管理系统还可以通过物联网技术和传感器设备,实现对货物位置和状态的实时监控,确保货物的安全和及时性。
此外,人工智能还可以根据货物的特性和需求,智能地进行货物摆放和库存管理,提高仓储利用率和出入库效率。
3. 智能运输调度物流运输调度是一个复杂而困难的管理问题,人工智能的应用可以为物流企业提供更加智能化和高效的运输调度解决方案。
人工智能可以通过强化学习和优化算法,对运输调度进行智能化优化。
通过分析实时交通数据和运力资源,智能运输调度系统可以智能地派发订单,合理调度车辆,提高整体运输效率,降低成本。
此外,人工智能还可以通过自动化技术,实现智能驾驶和自动驾驶,提高运输的安全性和准确性。
人工智能在物流行业的应用案例
人工智能在物流行业的应用案例一、引言在当今快速发展的社会中,物流行业作为经济的重要组成部分,面临着诸多挑战和机遇。
人工智能作为一项新兴技术,正逐渐渗透到物流行业的各个环节,为提升效率、降低成本、优化服务提供了重要的手段。
本文将介绍人工智能在物流行业中的应用案例,展示其在提升物流运作效率和质量方面的优势。
二、智能调度系统在传统的物流调度中,需要人工根据目标、需求和资源情况进行调度安排。
然而,这种人工调度存在着效率低下、难以应对复杂情况等问题。
而人工智能技术的应用,可以建立智能调度系统,通过对实时数据的采集和处理,自动优化路径,合理安排车辆和货物的调度,从而提升物流运输的效率。
三、智能仓储系统传统的仓储管理往往以人工为主,存在着效率低下、容易出错等问题。
人工智能技术的应用,可以构建智能仓储系统。
该系统可以通过感知设备对仓库进行实时监控,通过机器学习算法对仓库的存储和取货进行智能优化,从而提高仓储效率,降低错误率。
四、智能物流配送传统的物流配送在路线规划和配送安排方面,往往需要人工根据经验和判断进行决策。
而人工智能技术的应用,可以通过大数据分析和算法模型,对配送过程进行智能化管理。
系统可以根据订单量、交通情况和配送距离等因素,自动生成最佳的路线规划和配送方案,从而提高配送效率,减少运输成本。
五、智能库存管理在传统的库存管理中,往往存在着库存过高或过低的问题,同时也难以对库存的动态变化进行实时监控。
而人工智能技术的应用,可以构建智能库存管理系统。
该系统通过实时监控和数据分析,可以准确预测商品需求,自动调整库存量,避免过高或过低的情况发生,从而提高库存管理效率,降低库存成本。
六、智能客服系统在物流行业中,客服服务一直是关注的焦点。
传统的客服方式存在着需求响应慢、满意度低等问题。
而人工智能技术的应用,可以打造智能客服系统。
该系统可以通过语音识别和自然语言处理技术,对客户的问题进行智能解答和指导,提供更加便捷和高效的客服服务,提升客户满意度。
- 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、"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、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)。
Human side of lean logistics: the Kivits Drunen caseAuthor: S.A.C. van der SmissenDate of completion: 12-08-2010Human side of lean logistics: the Kivits Drunen caseMaster thesis of the department of Organization & Strategy,Faculty of Economics and Business Administration,Tilburg UniversityAuthor: S.A.C. van der SmissenStudent number: 610961Program: Master Logistics and Operations ManagementDate of defense: 27-08-2010Company: Kivits Drunen BVCompany supervisors: Maya GeelenJohn MeestersUniversity supervisors: drs. Mark Overboomdr. Job de Haandr. Fons NausNumber of words:16511Management summaryLogistic Service Providers (LSPs), such as Kivits Drunen, might face two big problems. First, they are traditionally seen as cost centers, instead of value-adding entities. Moreover, it might be difficult to hire quality employees whose needs fit with their jobs. This research performed a baseline analysis, using four different analyses, aimed at employees, customers, process, and productivity. Moreover, this research uses the lean environment to solve the problems LSPs face.This has led to the following problem statement:Using a baseline analysis and lean principles, what improvement-agenda can be offered to Kivits Drunen?To answer the above question, a literature research was performed on logistics and the application of the lean philosophy to logistics. Lean principles and goals were discussed, together with the underlying lean practices, which were, in line with theory, combined into bundles.Moreover, literature research was started on the analyses used in this research. These are: person-work analysis, customer-process analysis, value stream mapping, and data envelopment analysis. These analyses were performed with the expectation that the leanness of Kivits Drunen affects the job characteristics and the process, although the leanness could not be measured.A case study at Kivits Drunen was performed to see the current position of the company with respect to the analyses used in a base analysis. Throughout the research, company records, questionnaires, direct observations, and the knowledge of the employees were used to obtain and verify information and observations.The observations showed that there is not much awareness of the lean philosophy within Kivits Drunen. Knowledge of the philosophy is essential before implementing other suggestions for improvement.The results of the analyses show that Kivits Drunen can improve the fits between the needs of employees and the potential of the job. The biggest improvement potential within the person-work analysis can be found in the autonomy fit for truck drivers. By improving the autonomy fit, satisfaction, and motivation is expected to increase, while employee turnover decreases. This is expected to be beneficial for productivity, and hence, the financial position of the company. On average, truck drivers want more autonomy, while some drivers want lessautonomy. For the truck drivers who wish more autonomy, boundaries can be set with respect to for instance waiting time at destinations within which the drivers can operate. Autonomy for truck drivers can also be increased by analyzing their skills set and by letting them train other people if their skill set is sufficient to do so. Moreover, autonomy can be increased by learning them to see waste and giving them the autonomy to remove this waste.From the value stream mapping analysis, it followed that efficiency improvements can be gained by finishing the loading list earlier on and/or by starting the picking and packing process later. This decreases the waiting time between the picking and packing process and the shipping process. Decoupling drivers from trucks saves labor hours, but is expected to lead to problems regarding employee satisfaction and motivation, and hence, to employee turnover intent. Moreover, it makes it hard to maintain the responsibility of the truck drivers for their own truck. Therefore, this is not a good solution for the problem. Focus should therefore lie on standardizing the time of finishing the loading list by obtaining information from customers more quickly.Moreover, travelling time within the picking and packing process can be reduced by adjusting the layout of the cell from which the products for customer F are picked.These measures are expected to lead to a lower utilization of the number of labor hours. The data envelopment analysis showed that Kivits Drunen uses too many labor hours compared to other decision making unit. Therefore, there is room for improvement regarding efficiency of labor.However, the adjustments made in processes should fit with the customer‟s needs.From the customer-process analysis, in which this fit is discussed, it followed that Kivits Drunen is not aware of these needs. The estimation of these needs is based on experiences. It is wise to set up service level agreements to actually measure the customer‟s needs. These needs should then be translated into internal performance indicators, so that performance on the customer‟s needs, and, hence, customer satisfaction is actually measured. If performance indicators are measured, kaizen (or continuous improvement) can be applied and actually measured. Service level agreements do not only identify customers‟ needs, they might also offer you bargaining power when you have exceeded the customer‟s needs.To conclude by implementing (a number of) these suggestions, the fits investigated are expected to improve. This, in turn, is expected to lead to a higher level of efficiency and a better financial position of Kivits Drunen.ForewordThis thesis is written to complete the master “Logistics and Operations Management” at the Tilburg University. The empirical part of this research is based on an internship at Kivits Drunen BV, as a part of the …Human side of lean logistics‟ project at Tilburg University.I want to thank Rob van Opzeeland, who has given me the chance to do an internship at the company. Moreover, I am thankful to Maya Geelen and John Meesters, who were my company supervisors throughout my internship. I am also thankful to drs. Mark Overboom, who was my personal supervisor, and dr. Job de Haan, and dr. Fons Naus, who co-supervised the …Human side of lean logistics‟ p roject. I would also like to thank Mark van den Broek, a consultant involved in the project. All these people provided me with useful suggestions. Moreover, I would like to thank the eight other students involved in the project. During the project we have exchanged ideas and we have written the theoretical part together.This thesis provides an improvement agenda for Kivits Drunen to become more efficient by using the lean philosophy. Hopefully, these suggestions can be implemented successfully. The last five months have been a great experience for me. Although I only performed a research for Kivits Drunen and did not work for the company, I learnt a lot about the logistics business. The food industry in which Kivits Drunen is mainly operating requires a lot of flexibility. Being able to see how a business deals with this issue is very interesting.To conclude, I would like to thank all the employees of Kivits Drunen, since they were always willing to help and to answer questions for the research. Moreover, they have made my internship at Kivits Drunen very pleasant and valuable.Stef van der SmissenAugust 2010Table of ContentsManagement summary i Foreword iii 1. Introduction 11.1 Problem indication 11.2 Conceptual model 21.3 Problem statement 21.4 Research questions 31.5 Research design 31.6 Structure of the thesis 42. Lean logistics and lean principles 62.1 Logistics and logistics service providers 62.2 Relationships among TPL providers and members of supply chains 72.3 Lean philosophy 82.3.1 Lean service 92.4 Lean Bundles 122.4.1 Just-in-time 122.4.2 Total Quality Management 122.4.3 Total Preventive Maintenance 132.4.4 Human Resource Management 132.4.5 Customer Involvement 142.4.6 Supplier Communication Management 142.5 Lean Tools 142.5.1 5S 142.5.2 Just in Time Kanban Demand Signals 152.5.3 Value Stream Mapping 152.5.4 Kaizen 162.6 Summary 163. Analytical models 173.1 Introduction 173.2 Research model 173.3 Person-work analysis 183.3.1 Employees‟ needs and job characteristics193.3.2 Psychological states 193.3.3 Outcomes 203.4 Customer-process analysis 203.5 Value stream mapping 213.6 Data envelopment analysis 213.7 Summary 224. Research methodology 234.1 Introduction 234.2 Person-work analysis 234.3 Customer-process analysis 244.4 Value stream mapping 254.5 Data envelopment analysis 265. Results 285.1 Person-Work Analysis 285.1.1 Descriptive statistics 285.1.2 Needs and potentials 295.1.3 Correlations 305.1.4 Regression Analysis 305.2 Customer-process analysis 345.2.1 Pareto analysis 345.2.2 Choice of customer 345.2.3 Employees‟ daily reports 355.2.4 Services provided for customers 355.2.5 Customer-process analysis for customer F 365.3 Value stream mapping 385.4 Data envelopment analysis 405.4.1 Outputs/inputs 405.5 Conclusion 416. Discussion and conclusions 436.1 Discussion 436.2 Conclusion 456.3 Improvement agenda 466.4 Limitations 486.4.1 Reliability 486.4.2 Validity 496.5 Recommendations 49References viiAppendix 1: Elaboration on analyses xv1. Job Characteristics model xv1.1 Background xv1.2 Original model xvi1.3 The core job dimensions xvii1.4 The critical psychological states xviii1.5 Work outcomes xix1.6 Mediating effect of the critical psychological states xix1.7 Moderating effect of the growth need strength xx1.8 Motivation Potential Score xx2. Data envelopment analysis xx i2.1 The procedure xx i2.2 Efficiency improvement potential for inefficient DMUs xxii2.3 Efficiency improvement potential for efficient DMUs xxiii2.4 Ranking efficient units xxiii3 Linkages between the adapted job characteristics model and dataenvelopment analysis xxv3.1 Introduction xxv3.2 Linkages xxv3.2.1 Job redesign and productivity xxv3.2.2 Employee turnover (intent) and productivity xxvi Appendix 2: Method person-work analysis xxviii Appendix 3: Correlations in the person-work analysis xxxv Appendix 4: Method customer-process analysis xxxvi Appendix 5: Pareto analysis 2009 and 2010 xxxviii Appendix 6: 24 biggest customers revenue-wise of Kivits Drunen in 2009 and 2010 xxxix Appendix 7: Customer profiles for the eight biggest customers ofKivits Drunen xl Appendix 8: Description of services performed for the biggest customers xli Appendix 9: Service/processes performed for top eight customers xliii Appendix 10: Time spent in warehouse on customers-activities xliv Appendix 11: Global value streams of the warehouse processes for the eightbiggest customers of Kivits Drunen in 2010 xlv Appendix 12: Method Value stream mapping xlvi Appendix 13: Current value stream map at Kivits Drunen xlviii Appendix 14: Explanation of symbols used in the value stream map xlix Appendix 15: Loading list l Appendix 16: Method data envelopment analysis li1. IntroductionSection 1.1 discusses the problem indication for Kivits Drunen. In Section 1.2, the conceptual model of this research is introduced, followed by the problem statement (Section 1.3). Om Section 1.4, the research questions and the problem statement are presented. In Section 1.5, the research design is discussed, followed by an explanation of the structure of the thesis in Section 1.6.1.1 Problem indicationLogistic Service Providers (LSPs), such as Kivits Drunen, might face two big problems. First, they are traditionally seen as cost centers, while the value they add to their customers is neglected (De Haan, Overboom, & Naus, 2009). Second, it is difficult to hire quality employees whose needs fit with their tasks (Autry & Daugherty, 2003). This paper uses the lean environment to solve these problems, since the lean philosophy is aimed at increasing efficiency and at using the company‟s staff in a better way.The lean philosophy is aimed at reducing all types of waste (Sugimori, Kusunoki, Cho, & Uchikawa, 1977). According to Shah and Ward (2003), “work-in-process inventory and unnecessary delays in flow time” (p. 137) are the biggest forms of waste. These forms of waste can be identified by using Value Stream Mapping (Abdulmalek & Rajgopal, 2007), thereby providing the link between value stream mapping and the lean philosophy. A value stream map defines all non-value-adding (waste) and value-adding actions by a company from start until end, at its customer (Abdulmalek & Rajgopal, 2007).In a lean environment, the employee‟s task should fit with the processes. The focus in lean is on people. This research goes beyond that by also investigating the fit between these tasks and the employee‟s needs. This is done through an adapted version of the job characteristics model by Hackman and Oldham (1976). In a lean environment, autonomy and responsibility are typically important for employees (Lee & Peccei, 2008). These and other inputs lead to a specific psychological state, such as the experienced meaningfulness of the work (Rungtusanatham & Anderson, 1996), which lead to a specific outcome, such as staying at or leaving the company, thereby influencing the productivity level.Moreover, this research investigates the fit between the (lean) processes of Kivits Drunen and the customer‟s wishes. The customer‟s wishes are reflected by key performance indicators set in Service Level Agreements. (Not) meeting the requirements of the customer, leads tocustomer (dis)satisfaction (Bowersox, Closs, & Cooper, 2010), which in turn influences the level of productivity.All of these models lead to a certain level of productivity, which is benchmarked against the best practices possible for the pool of similar companies by using the Data Envelopment Analysis. Ki vits Drunen wants to adopt the lean approach through the project …Human Side of Lean Logistics‟ to enhance its productivity. Moreover, eight warehousing and/or logistical companies from the Netherlands and Belgium are involved in this project. Just like Kivits Drunen, these companies want to use lean to obtain an increase in productivity. Keeping all other things constant, an increase in business productivity leads to more profit.While previous studies investigated the models mentioned above one by one, this research combines the models in a baseline analysis to show where logistical service providers add value and what kind of workers should be hired to increase the productivity and in turn the financial position of the company, thereby contributing to existing literature.1.2 Conceptual modelA conceptual model was designed to guide the research, which is depicted in Figure 1.1. The theoretical concept of “analytical models and lean principles” leads to the identification of the company‟s strengths and weaknesses. A baseline analysis is performed for the four analytical models in this thesis and the lean principles. This baseline analysis leads to an improvement agenda, which conceptually reflects the company‟s strengths and weaknesses.Figure 1.1: Conceptual model1.3 Problem statementUsing a baseline analysis and lean principles, what improvement-agenda can be offered to Kivits Drunen?1.4 Research questionsThe research questions provide a systematic way for addressing the problem statement and the conceptual model (see Figure 1.1).Research question 1: What is lean logistics and what are the lean principles?Research question 2: What analyses are used in the research model for the baseline analysis? Research question 3: How are the analyses applied and what strengths and weaknesses can be expected from the analyses?Research question 4: What are the results of the baseline analysis for Kivits Drunen? Research question 5: What improvement agenda can be offered to Kivits Drunen?1.5 Research designThis research focuses on the link between existing concepts to gain new insights within the sector of lean logistics and therefore has a descriptive nature. The goal of descriptive research is to portray an accurate profile of persons, events or situations (Saunders, Lewis & Thornhill, 2007). The research strategy that will be used can be characterized as a theory-driven case study. This research is part of the project …Human Side of Lean Logistics‟, which involves 8 other case studies within the logistics sector. A part of this research is based on the comparison between all companies participating in this project.Furthermore, the descriptive design is used to systematically think about aspects in a given situation and to offer ideas for further research (Sekaran, 2003). A baseline analysis will be performed to get a clear picture of the current situation and to systematically identify specific opportunities for improvement of performance.Literature on the topic of lean logistics will be reviewed first to get insight in how the lean philosophy can be applied in a logistics environment. Literature is a secondary source of information, as it already exists and does not have to be collected by the researcher (Sekaran, 2003). Academic search engines such as ABI/Inform, ScienceDirect and ProQuest will be used to access relevant articles and publications from top journals in the fields of Logistics and Operations Management. Most important keywords used to collect these secondary data are: “lean logistics”, “lean warehousing”, “lean philosophy”, “lean manufacturing”, “logistics service providers”, “wastes” and “lean tools”. As a sampling technique, snowballing is used to collect secondary data. This is proven to be a very effective sampling strategy (Streeton, Cooke & Campbell, 2004).Primary data collection will be the basis for the empirical part of the research. This empirical part consists of four different analyses that together form the baseline analysis. These four analyses are also coming from literature. Details about the analysis that will be applied and the data collection process for the empirical part will be further elaborated on in Chapter 3.1.6 Structure of the thesisFigure 1.2: Thesis structureThis research can be divided into four different parts; shown in Figure 1.2as A, B C and D. Part A consists of Chapters 2, 3 and 4, who together cover the theoretical foundation and research methodology of this thesis. This part is identical for every case study within the project …Human Side of Lean Logistics‟. Within part A, Chapter 2 focuses on the first research question, covering the literature on lean logistics and the lean principles. Chapter 3 focuses on the second research question, where the theoretical background of the research model is discussed. Appendix 1 forms a supplement on Chapter 3 and contains an in-depth review of two out of the four analyses discussed earlier. Moreover, Appendix 1 provides the linkage between two analyses. Chapter 4 focuses on the research methodology.The fourth research question is discussed in part B (Chapter 5), which represents the empirical results coming from the four analyses. Part C (Chapter 6) covers the final research question and focuses on the confrontation of the proposed theoretical framework with the empirical results from the analysis. Moreover, conclusions are drawn and recommendations are made in the improvement agenda for the company.Part D is constructed as a detailed empirical supplement of Chapter 5. Every analysis has its own appendices with detailed or extra information regarding the data collection or empirical results. This research focuses on the development of a baseline analysis which leads to an improvement agenda. In order to achieve consistency throughout the entire period of the project …Human Side of Lean Logistics‟, th ese appendices can be used as a guideline to perform the same analysis again.2. Lean logistics and lean principlesThis chapter provides the t heoretical foundation of the subject …lean logistics‟. Section 2.1 describes the concept of logistics and gives a definition of logistics service providers. Subsequently, in Section 2.2, the role of third party logistics providers within a supply chain is discussed. Section 2.3 deals with lean philosophy in the context of logistics and in Section 2.4 lean practices will be aggregated into six lean bundles. In Section 2.5, lean tools will be elaborated upon. The chapter ends with a summary.2.1 Logistics and logistics service providersThe improvement of logistics is an important source for companies to make new profits and maintain a competitive advantage.The Council of Supply Chain Management Professionals define logistics as “that part of the supply chain process that plans, implements, and controls the efficient, effective forward and reverse flow and storage of goods, services, and related information between the point of origin and the point of consumption in order to meet customer requirements” (n.d, para. 4). Rutner and Langley (2000) state that logistics adds value for customers when products are at the right place, at the right time, and in the right quantity. The factor “place” concerns delivering products from and towards the right location. Transportation and facility networks are two important related concepts. Transportation is responsible for geographically moving and positioning inventory. A facility network involves the number and location of facilities required to perform logistics work, as well as the inventory and how much inventory to store at each facility (Bowersox et al., 2010). Furthermore, delivering products at exactly the right moment is crucial. This is represented by the second factor …time‟. Late arrivals can result in shortage of stock, possibly leading to delays in customer delivery. Early arrivals can cause severe storage problems. In order to bridge time gaps between production and consumption, products are stored and inventory control is applied at warehouses (Bowersox et al., 2010). The third factor …quantity‟ represents the volume delivered to customers. This factor has a great impact on the internal processes of the customer; if quantities are too small, production may be put on hold. On the other hand, if quantities are too large, extra storage space might be required, which may not be available.Companies bridging these gaps are logistics service providers (LSP‟s) (De Haan et al., 2009). LSP‟s bring along benefits such as cost reduction, service improvement, strategic flexibility and an increased focus on core competencies (Van Laarhoven, Berglund, & Peters, 2000). Logistics service providers perform various activities for customers, functioning as an intermediary (Lai, 2004). These activities range from traditional logistics activities (such as storing and transport) to less conventional activities (such as tracking and tracing) (Chen,2007). Hertz and Alfredsson (2003) summarise a third party logistics provider as an external provider who manages, controls and delivers logistics activities on behalf of a shipper. According to Berglund, Van Laarhoven, Sharman and Wandel (1999), LSP‟s can add value in four ways namely; operational efficiency, integration of customer operations, vertical or horizontal integration and supply chain management and integration. The first two relate to the sharing and increased utilisation of resources. The third relates to a network of LSP‟s to outsource while the fourth relates to managing the supply chain for the customer. De Haan et al. (2009) summarise LSP‟s as carrying out shippers‟ primary processes at a high service level but at the lowest price possible, reflected in service level agreements. Both must be pursued simultaneously in order to satisfy and retain customers.2.2 Relationships among TPL providers and members of supply chainsBask (2001) states that third party logistics (TPL) providers can be seen as supportive supply chain members and should therefore support supply chain strategies. Supportive members can be defined as companies that simply provide resources, knowledge, utilities or assets for the primary members of the supply chain (Pagh and Cooper, 1998, in Bask, 2001). In Figure 2.1 the three relationships which exist in a supply chain with regard to a TPL provider are displayed:1.The relationship between seller and TPL provider.2.The relationship between buyer and TPL provider.3.The relationship between seller and buyer in the supply chain.Figure 2.1: Three dyadic relationship among seller, buyer and third-party logistics providerHowever, third party logistics does not only refer to a situation where two parties are served by the logistics service provider (LSP); a LSP with solely a relation with the seller or the buyer can also be qualified as a TPL provider.In Figure 2.1 the TPL provider is depicted above the seller and buyer, which might seem strange when defining the TPL provider as a supportive member of the supply chain. Therefore, depicting the TPL provider in a smaller circle beneath the seller and buyer might be more appropriate. This is in accordance with the definition of Shapiro and Heskett (1985, in Bask, 2001) who see the TPL provider as “the agent middleman in the logistics channel who enters into a temporary or longer term relationship with some other entity in the logistics channel”.2.3 Lean philosophyLean is viewed as a philosophy, a way of life, rather than just a management tool. Bortolotti and Romano (2010) indicate that lean production provides several benefits: cost reduction, productivity increase, quality improvement, lead time reduction, supplies reduction, flexibility and customer satisfaction improvement. According to De Haan et al. (2009), lean companies need to balance flexibility with uninterrupted flows, implicating a trade-off between continuous flow of goods and flexibility to accommodate variety. Womack and Jones (1996) propose five guiding principles to achieve benefits of lean processes:1.Define value from the standpoint of the end customer, broken down by product family.2.Identify all steps in the “value stream” for each product. This step is undertaken by thevalue stream map. The value stream includes all actions, those that create value and those that do not, which are required to bring a product from concept to launch and from order to delivery.3.Make value-creating steps occur in tight sequence so the product will flow smoothlytowards the customer.4.As …flow‟ is introduced, let customers pull value from the next upstream activity andensure that those responsible for each process phase act only to add value to the preceding phase. There should be a continuous flow throughout the process.5.Begin the process again, defining value, identifying steps in the value stream,removing unnecessary steps, introducing flow and pull. Continue until perfect value is created and no waste activities are left. In other words, this is a search for continuous improvement to manage perfection.De Haan et al. (2009) summarize lean management in three principles: creating value, reducing waste and improving continuously. In order to create customer value production should only take place when needed. When reducing waste the processes need 100 % processcontrol. Continuous improvement should be implemented step by step to enhance performance towards the customer. Cuatrecasas (2004) describes lean management as making use of lean for management control systems or steering the business.2.3.1 Lean serviceThe lean philosophy originated in production environments. Figure 2.2 gives an overview of the most important elements in lean production. Although the philosophy finds its origin in manufacturing, it is transferrable to service environments as well. Swank (2003) defines lean service as applying lean principles in service industries, whereas Bowen and Youngdahl (1998) define lean service as the application of state-of-the-art manufacturing thinking to service design and delivery. The first definition will be used in this research as this definition most explicitly refers to lean. However, problems arise as services tend to be heterogeneous in nature (Holm & Ahlström, 2010). Within service environments, direct contact exists with customers exhibiting different needs whereas in production environments a stable flow can be established. Dal Pont (2010) emphasizes the role of employees and strong utilisation of IT as important variables in lean service implementations. Lean exists on two levels according to Hines, Holweg and Rich (2004): a strategic level which encompasses the whole organisation to understand customer value and an operational level which relates to lean tools and techniques to create value and eliminate waste.Figure 2.2: Elements of lean production (Karlsson & Ahlstrom, 1996)。