Transport Optimization

About This Book

PART I: FOUNDATIONS Chapter 1: The Business of Moving Things — Why Transport Optimization Matters Chapter 2: The Optimization Toolkit — Models, Algorithms, Excel & Python Setup PART II: ROUTING & DISPATCH PROJECTS Chapter 3: The Milk Run Problem — Shortest Path — Dairy Cooperative [5 Worked Problems] Chapter 4: The Bakery Distribution Problem — Capacitated VRP — Fleet Routing [6 Worked Problems] Chapter 5: The Cold Chain Pharma Problem — VRP with Time Windows [5 Worked Problems] Chapter 6: The E-Commerce Last-Mile Problem — Dynamic Pickup & Delivery [4 Worked Problems] PART III: NETWORK DESIGN & FLOW PROJECTS Chapter 7: The Cement Transportation Problem — Classical Transportation Model [6 Worked Problems] Chapter 8: The Automotive Parts Problem — Transshipment & Multi-Echelon Flow [4 Worked Problems] Chapter 9: The Warehouse Location Problem — Facility Location — MILP [5 Worked Problems] Chapter 10: The Port-to-Plant Problem — Multi-Modal Optimization [4 Worked Problems] PART IV: ADVANCED & FRONTIER TOPICS Chapter 11: The Monsoon Disruption Problem — Stochastic & Robust Optimization [4 Worked Problems] Chapter 12: The Driver-Shift Problem — Column Generation & Crew Scheduling [3 Worked Problems] Chapter 13: The Green Fleet Problem — Sustainability-Constrained VRP [4 Worked Problems] Chapter 14: The Intelligent Dispatcher — ML-Augmented Optimization [3 Worked Problems] PART V: FROM MODEL TO BUSINESS VALUE Chapter 15: Capstone — Integrated Network Redesign [1 Major Case Study] Chapter 16: Deployment & Governance — From Prototype to Production Chapter 17: Pitfalls & Checklists — 57 Documented Pitfalls, Go/No-Go Checklist APPENDICES Appendix A: — Mathematical Notation Reference Appendix B: — Python Environment Setup Appendix C: — Excel Solver & OpenSolver Guide Appendix D: — All Datasets & Download Links Appendix E: — Glossary (150+ Terms)