Optimization modeling for supply chain applications

1. Introduction and Overview 2. Linear Programming 3. Integer Programming 4. Network Optimization 5. Quadratic Unconstrained Binary Optimization (QUBO) Modeling 6. Constraint Programming 7. Supply Chain Network Design 8. Production Planning 9. Resource Planning 10. Supply Chain Configuration 11. Machine Scheduling 12. Resource-Constrained Project Scheduling 13. Traveling Salesman Problem and Its Variants 14. Vehicle Routing Problem and Its Variants 15. Credit Term Optimization

This book offers a comprehensive overview of data-driven optimization modeling techniques and their applications in supply chain management. It covers various model building techniques, such as mathematical programming, network optimization, and constraint programming, and covers topics such as supply chain network design, production planning, supply chain configuration, machine scheduling, and vehicle routing. The book also introduces the state-of-the-art optimization modeling software, CPLEX OPL Studio, as a powerful tool for implementing these techniques. Sample codes are available upon purchase. This book is essential for researchers and students in business, data analytics, industrial engineering, computer science, and applied math, as well as practitioners and consultants in industry. It can be used as a textbook for advanced undergraduate or graduate courses in supply chain management, operations management, data analytics, economics, and industrial engineering. Sample codes will be available upon purchase.