Supply Chain Performance Measurement and Analytics

Focuses on developing key performance indicators (KPIs), analyzing supply chain data, and using analytics to improve decision-making

Course Overview:

This course equips participants with the tools, methodologies, and analytical skills needed to effectively measure, analyze, and enhance supply chain performance. Participants will learn how to define key metrics, design performance dashboards, and apply data-driven decision-making to improve supply chain efficiency, responsiveness, and resilience.

The training emphasizes practical application through industry examples, hands-on Excel/Power BI analytics, and the integration of KPIs with overall business goals.

Course Objectives:

By the end of this training, participants will be able to:
○ Understand the role of performance measurement in supply chain management
○ Identify and define relevant KPIs across supply chain functions
○ Analyze performance data to uncover trends, gaps, and opportunities
○ Use visual tools and analytics software to drive data-driven decision making
○ Align supply chain performance with strategic business outcomes

Target Audience:

○ Supply Chain Managers and Analysts
○ Operations and Logistics Professionals
○ Procurement and Sourcing Specialists
○ Business Intelligence Analysts
○ Continuous Improvement Teams
○ Performance and Strategy Managers

Course Delivery Method:

○ Instructor-led training (in-person or virtual)
○ Interactive case studies and benchmarking activities
○ Dashboard building in Excel and Power BI
○ Group exercises for metric selection and analysis
○ Hands-on KPI modeling templates and scorecards
○ Pre- and post-training quizzes for knowledge assessment

Course Outlines

Module 1: Foundations of Supply Chain Performance

○ Understanding performance management in the supply chain context
○ Strategic vs. operational metrics
○ SCOR model and its application to performance mapping
○ Identifying value drivers and performance levers

Module 2: Key Performance Indicators (KPIs) Across the Supply Chain

○ Sourcing and procurement KPIs (cost, lead time, supplier reliability)
○ Logistics KPIs (OTIF, transport cost per unit, capacity utilization)
○ Inventory KPIs (inventory turnover, stockout rate, DIO)
○ Manufacturing KPIs (OEE, yield, cycle time)
○ Customer service KPIs (fill rate, order accuracy, response time)

Module 3: Designing and Implementing KPI Dashboards

○ Principles of effective KPI dashboard design
○ Selecting the right KPIs for your business model
○ Using Excel for real-time performance dashboards
○ Introduction to Power BI for advanced visualizations
○ Interpreting dashboards for actionable insights

Module 4: Data Analytics for Supply Chain Decision-Making

○ Descriptive, predictive, and prescriptive analytics in SCM
○ Data cleansing, transformation, and aggregation
○ Root cause analysis using data trends
○ Scenario modeling and forecasting techniques
○ Using analytics to support S&OP, demand planning, and risk mitigation

Module 5: Performance Benchmarking and Continuous Improvement

○ Internal vs. external benchmarking
○ Identifying best-in-class performance
○ Gap analysis and target setting
○ Integrating Lean and Six Sigma into supply chain improvement
○ Creating a performance culture in the supply chain organization

Module 6: Linking Performance to Strategic Goals

○ Translating corporate goals into functional KPIs
○ Cascading KPIs across departments and teams
○ Balanced scorecards for supply chain
○ Governance, reporting, and review cadence
○ Aligning incentives and accountability with KPI performance