Curriculum
- 7 Sections
- 39 Lessons
- 40 Hours
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- Module 1: Introduction to Six Sigma and Lean in Supply Chain5
- 1.1Overview of Six Sigma, Lean principles, and their relevance to supply chains
- 1.2Key supply chain challenges: variability, inefficiency, delays, and costs
- 1.3Benefits of process improvement and performance optimization
- 1.4Overview of DMAIC (Define, Measure, Analyze, Improve, Control) methodology
- 1.5Case studies of successful Six Sigma implementation in supply chains
- Module 2: Define Phase – Project Selection and Scoping6
- 2.1Selecting appropriate processes for improvement
- 2.2Identifying supply chain problems and opportunities
- 2.3Defining project goals aligned with business objectives
- 2.4Stakeholder analysis and engagement strategies
- 2.5Project charter creation and scope definition
- 2.6Mapping supply chain processes and value streams
- Module 3: Measure Phase – Data Collection and Metrics5
- 3.1Understanding key supply chain metrics (Lead Time, Cycle Time, Inventory Turnover, Fill Rate)
- 3.2Designing data collection plans
- 3.3Measuring process performance and capability
- 3.4Introduction to statistical tools for data measurement
- 3.5Establishing baseline performance and identifying critical process parameters (CTQs – Critical to Quality)
- Module 4: Analyze Phase – Identifying Root Causes6
- 4.1Process mapping and value stream analysis
- 4.2Identifying bottlenecks, waste, and inefficiencies
- 4.3Using root cause analysis tools (Fishbone Diagram, 5 Whys, Pareto Analysis)
- 4.4Correlation and regression analysis for process improvement
- 4.5Risk assessment and prioritization of improvement areas
- 4.6Case studies of supply chain problem-solving
- Module 5: Improve Phase – Process Optimization7
- 5.1Lean strategies for supply chain efficiency (5S, Kaizen, Kanban, Just-in-Time)
- 5.2Reducing defects, delays, and process variation
- 5.3Logistics and transportation optimization
- 5.4Simulation and modeling for process improvements
- 5.5Inventory optimization techniques and stock level management
- 5.6Supplier performance improvement strategies
- 5.7Pilot implementation and validation of improvements
- Module 6: Control Phase – Sustaining Improvements5
- Module 7: Supply Chain Analytics and Decision Making5
- 7.1Using Six Sigma tools for predictive and prescriptive analytics
- 7.2Data-driven decision-making for procurement, production, and distribution
- 7.3Forecasting and demand planning using statistical methods
- 7.4Simulation and scenario analysis for risk management
- 7.5KPI dashboards and performance monitoring
Simulation and scenario analysis for risk management
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