Contents

Chapters in this book

1. Frontmatter I
2. Preface V
3. Acknowledgments VII
4. About the Author VIII
5. Contents IX
6. Part 1: Understanding Simulation and Analytics
7. Chapter 1. Analytics and Simulation Basics 3
8. Chapter 2. Simulation and Business Processes 52
9. Chapter 3. Build the Conceptual Model 67
10. Chapter 4. Build the Simulation 110
11. Chapter 5. Use Simulation for Descriptive, Predictive and Prescriptive Analytics 154
12. Part 2: Simulation Case Studies
13. Chapter 6. Case Study: A Simulation of a Police Call Center 195
14. Chapter 7. Case Study: A Simulation of a “Last Mile” Logistics System 206
15. Chapter 8. Case Study: A Simulation of an Enterprise Resource Planning System 214
16. Chapter 9. Case Study: A Simulation of a Snacks Process Production System 230
17. Chapter 10. Case Study: A Simulation of a Police Arrest Process 239
18. Chapter 11. Case Study: A Simulation of a Food Retail Distribution Network 249
19. Chapter 12. Case Study: A Simulation of a Proposed Textile Plant 259
20. Chapter 13. Case Study: A Simulation of a Road Traffic Accident Process 271
21. Chapter 14. Case Study: A Simulation of a Rail Carriage Maintenance Depot 280
22. Chapter 15. Case Study: A Simulation of a Rail Vehicle Bogie Production Facility 289
23. Chapter 16. Case Study: A Simulation of Advanced Service Provision 298
24. Chapter 17. Case Study: Generating Simulation Analytics with Process Mining 308
25. Chapter 18. Case Study: Using Simulation with Data Envelopment Analysis 321
26. Chapter 19. Case Study: Agent-Based Modeling in Discrete-Event Simulation 325
27. Appendix A 336
28. Appendix B 337
29. Index 338