Course Modules

Module 1: Foundations of Supply Chain Optimization and Risk Management

• Principles of Modern Supply Chain Management

• Supply Chain Strategy and Competitive Advantage
• Introduction to Supply Chain Optimization
• Fundamentals of Supply Chain Risk Management
• Supply Chain Performance Metrics
• Supply Chain Digital Transformation
• Building Resilient Supply Chains

Case Study & Practical Application: Assess an organization's supply chain and identify optimization opportunities and major operational risks.

Module 2: Mathematical Optimization Techniques

• Introduction to Prescriptive Analytics
• Linear Programming Models
• Mixed Integer Programming
• Network Flow Models
• Transportation and Assignment Problems
• Optimization Constraints and Objectives
• Introduction to Optimization Software

Case Study & Practical Application: Develop optimization models to minimize logistics costs and maximize operational efficiency.

Module 3: Production Planning and Inventory Optimization

• Demand Forecasting Fundamentals
• Production Planning Models
• Inventory Classification Techniques
• Economic Order Quantity (EOQ)
• Safety Stock Optimization
• Multi-Echelon Inventory Planning
• Warehouse Optimization

Case Study & Practical Application: Optimize inventory policies for a multi-warehouse supply chain.

Module 4: Distribution Network and Logistics Optimization

• Distribution Network Design
• Facility Location Analysis
• Transportation Optimization
• Vehicle Routing Problems (VRP)
• Last-Mile Delivery Optimization
• Reverse Logistics
• Sustainable Logistics Strategies

Case Study & Practical Application: Design an optimized distribution network that balances service levels and transportation costs.

Module 5: Simulation and Supply Chain Scenario Analysis

• Introduction to Supply Chain Simulation
• Monte Carlo Simulation
• Digital Twin Concepts
• Scenario Planning
• Capacity Analysis
• Demand and Supply Variability
• Decision Support Systems

Case Study & Practical Application: Simulate alternative supply chain scenarios to evaluate operational performance under different market conditions.

Module 6: Supply Chain Risk Identification and Assessment

• Understanding Supply Chain Risks
• Internal and External Risk Factors
• Operational Risks
• Financial Risks
• Supplier Risks
• Geopolitical and Regulatory Risks
• Cybersecurity Risks in Supply Chains
• Risk Mapping and Prioritization

Case Study & Practical Application: Develop a comprehensive supply chain risk register and risk heat map.

Module 7: Supply Chain Risk Analysis and Mitigation

• Risk Assessment Methodologies
• Failure Mode and Effects Analysis (FMEA)
• Six Sigma SIPOC Framework
• Business Continuity Planning
• Disaster Recovery Planning
• Supplier Diversification Strategies
• Supply Chain Resilience Frameworks

Case Study & Practical Application: Conduct a supply chain resilience assessment and recommend mitigation strategies.

Module 8: Data Analytics for Supply Chain Decision-Making

• Descriptive, Predictive, and Prescriptive Analytics
• Supply Chain Dashboards
• Key Performance Indicators (KPIs)
• Benchmarking Supply Chain Performance
• Data Visualization
• Performance Monitoring
• Continuous Improvement

Case Study & Practical Application: Develop a supply chain performance dashboard to support executive decision-making.

Module 9: Technology and Innovation in Supply Chain Optimization

• Artificial Intelligence in Supply Chains
• Machine Learning Applications
• Internet of Things (IoT)
• Blockchain for Supply Chain Transparency
• Cloud-Based Supply Chain Systems
• Digital Procurement Platforms
• Automation and Robotics
• Emerging Supply Chain Technologies

Case Study & Practical Application: Evaluate digital technologies that can improve supply chain efficiency and resilience.

Module 10: Supply Chain Optimization Capstone Project

• Integrated Supply Chain Optimization
• Designing Resilient Supply Networks
• Inventory and Distribution Strategy
• Risk Management Framework Development
• Scenario Analysis and Simulation
• Performance Evaluation
• Developing an Implementation Roadmap
• Executive Presentation

Case Study & Practical Application: Working in teams, participants will optimize an end-to-end supply chain by designing production, inventory, distribution, and risk management strategies. The project will include optimization modelling, scenario analysis, simulation, and executive recommendations presented in a capstone "Supply Chain Optimization Challenge."