Advanced Supply Chain Optimization

This course is designed to provide students with an in-depth understanding of supply chain optimization and its applications in supply chain management. Students will learn how to develop, implement, and manage advanced optimization strategies, including network optimization, inventory optimization, transportation optimization, and production optimization. The course will cover key concepts and methods in supply chain optimization, including mathematical modeling, simulation, and heuristic techniques. Additionally, students will explore the latest trends and emerging technologies in supply chain optimization.

Course Outline:

1. Introduction to Supply Chain Optimization

• Definition of Supply Chain Optimization
• Importance of Supply Chain Optimization
• Key Concepts in Supply Chain Optimization
• Applications of Supply Chain Optimization

1. Network Optimization

• Introduction to Network Optimization
• Network Design and Configuration
• Facility Location and Allocation
• Supply Chain Risk Management in Network Optimization

1. Inventory Optimization

• Introduction to Inventory Optimization
• Inventory Policies and Strategies
• Multi-Echelon Inventory Optimization
• Managing Uncertainty and Variability in Inventory Optimization

1. Transportation Optimization

• Introduction to Transportation Optimization
• Routing and Scheduling
• Carrier Selection and Management
• Cross-Docking and Consolidation

1. Production Optimization

• Introduction to Production Optimization
• Capacity Planning and Management
• Production Scheduling and Sequencing
• Lean and Agile Production Optimization

1. Advanced Topics in Supply Chain Optimization

• Integrated Supply Chain Optimization
• Collaborative Planning and Forecasting
• Artificial Intelligence and Machine Learning in Supply Chain Optimization
• Emerging Technologies in Supply Chain Optimization

Prerequisites:

• Basic understanding of supply chain management concepts
• Familiarity with Microsoft Excel or similar spreadsheet software
• Familiarity with mathematical modeling and optimization concepts

Recommended Textbook:

• “Supply Chain Optimization” by John A. Muckstadt.

Assessment:

• Midterm Exam (30%)
• Final Exam (40%)
• Group Project (30%)

Note: The course syllabus and assessment methods are subject to change based on instructor’s discretion.