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Licensed Unlicensed Requires Authentication Published by De Gruyter 2019

Appendix B

From the book Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics

  • Andrew Greasley
https://doi.org/10.1515/9781547400690-022
© 2019 Walter de Gruyter GmbH, Berlin/Munich/Boston
From the book
Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics
Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics

Chapters in this book (27)

Frontmatter
Preface
Acknowledgments
About the Author
Contents
Part 1: Understanding Simulation and Analytics
Chapter 1. Analytics and Simulation Basics
Chapter 2. Simulation and Business Processes
Chapter 3. Build the Conceptual Model
Chapter 4. Build the Simulation
Chapter 5. Use Simulation for Descriptive, Predictive and Prescriptive Analytics
Part 2: Simulation Case Studies
Chapter 6. Case Study: A Simulation of a Police Call Center
Chapter 7. Case Study: A Simulation of a “Last Mile” Logistics System
Chapter 8. Case Study: A Simulation of an Enterprise Resource Planning System
Chapter 9. Case Study: A Simulation of a Snacks Process Production System
Chapter 10. Case Study: A Simulation of a Police Arrest Process
Chapter 11. Case Study: A Simulation of a Food Retail Distribution Network
Chapter 12. Case Study: A Simulation of a Proposed Textile Plant
Chapter 13. Case Study: A Simulation of a Road Traffic Accident Process
Chapter 14. Case Study: A Simulation of a Rail Carriage Maintenance Depot
Chapter 15. Case Study: A Simulation of a Rail Vehicle Bogie Production Facility
Chapter 16. Case Study: A Simulation of Advanced Service Provision
Chapter 17. Case Study: Generating Simulation Analytics with Process Mining
Chapter 18. Case Study: Using Simulation with Data Envelopment Analysis
Chapter 19. Case Study: Agent-Based Modeling in Discrete-Event Simulation
Appendix A
Appendix B
Index
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