麦肯锡供应链管理-流程与绩效(英文原版)

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. . . but developing the “right” set of metrics is a challenge • No commonly used “model”. • Business issues that warrant performance measurement:
– Differ between industries. – Differ within industry. – Change overtime.
McKinsey • Proprietary and Confidential
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We used information from several sources during our project
• Internal and external documents:
Suppliers
Integrated Supply Chain Management
Inventory Management
Customers
This framework aligns with the CoE POV and is also similar to framework for the supply chain diagnostics inventory database.
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. . . and concluded there are three strategic objectives we should focus on when analysing the supply chain
• Respect all sources of data:
Blind-sided Intuition Qualitative Opinion Discussion Survey Functional Measures KPIs External Best Practice Quantitative
• We looked at the supply chain from the customer’s perspective.
• We brainstormed on “what could go wrong along the supply chain”:
– What are drivers of performance from a quality, time and cost point of view.
– Research Benchmark Industry Listings (http://www.capsresearch//htm).
• NAPM (US): • Kaiser Associates:
Purchasing. Benchmark Specialist Consultant.
• US University Research: New global initiative (investigating entry opportunities—Bob Ackerman).
Accountability
Focus
Communication
Measuring progress towards goals through interactive communication and education
There is no one “right” answer
This document’s an initial step in the right direction.
• NPDI • Support functions
Inventory Management
Cost
At reasonable cost
Tailor to company specific (BSC) objectives
Key metrics must give information on how a company is performing against old strategic objectives.
• The Supply Chain CoE’s objective is to define a benchmarking framework capable of:
– Comparing generic metric performances for use on projects. – Capturing further benchmarking data in a consistent format.
Objective 2 KPI KPI
• Recognised Cross-Industry; In-Industry and In-Company similarities and differences.
• Understand their relationships—the “causal tree”:
Objective 1 KPI KPI
• KPI and xxx measure • ―Dual service‖ measures (cost & time) • ―Hard wired‖ and tennons • Push-pull
– High level benchmarking framework for supply chain performance (H .Cook): • Shop Study (March 1997) accessing information from available experts and past projects. – Supply chain benchmarks and best practice (Dow Polyurethane & Epoxy April 1995). – Supply Chain Benchmark Assessment (March 1997). – Supply chain appraisal and benchmarks: (client X September 1997).
McKinsey • Proprietary and Confidential
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We used a generic supply chain framework as a basis for our analysis . . .
Supply Chain Framework
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Performance measurement is an important but complex subject
Companies see the need for metrics. . .
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We began with a brainstorming session on the key drivers for quality, time and cost
Customer service cost
The complete picture can be found in the appendix.
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Making their client specific warrants attention
• The London Shop’s task:
– Develop an overview of the different metrics to measure supply chain performance. – Select the most important metrics that can be used across industries. – Discuss how the most important metrics link other operational metrics within each stage of the supply chain. – Suggest how the supply chain CoE should continue concerning this topic.
• “If you can’t measure, you can’t manage, you can’t motivate” • Establishing the proper measures within an organisation enhances continuous
Linking strategy to action Assigning accountability to take action when needed
Quality
Time
Cost
Price
Service
Product quality
Product quantity
Product delivery
Late arrival
Late delivery
Inventory cost
Product cost
Production cost
Delivery cost
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Possible data sources
• CIPS (UK): • APICS (US): • CAPS (US): Purchasing (& Supply Chain). Supply Chain. Purchasing & Supply Chain (US & Legal):
Manufacturing
Purchasing Inbound Logistics Maintenance Marketing & Sales Outbound Logistics
Time
On agreed time
Integrated Supply Chain Management NB: Boundaries
Strategic objectives:
Supply Chain Framework Quality
Information Flow Forecasting & Production Planning Customer Service Products/services according to customer expectations
• Discussions with supply chain CoE:
– Graham Colclough. – Andrew Morgan. – Lee Sherman. – Deborah Huff (Cap McKinsey).
McKinsey • Proprietary anwk.baidu.com Confidential
Information Flow Forecasting & Production Planning Manufacturing Purchasing Inbound Logistics Maintenance Marketing & Sales Outbound Logistics Customer Service
LONDON SHOP
Developing An Overview of Supply Chain Performance Metrics
Process, Recommendations
McKinsey
October 2003
THE
This document gives an overview of the different metrics that can be used to measure supply chain performance
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