Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics
eBook - PDF

Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics

  1. 352 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics

About this book

This book outlines the benefits and limitations of simulation, what is involved in setting up a simulation capability in an organization, the steps involved in developing a simulation model and how to ensure that model results are implemented. In addition, detailed example applications are provided to show where the tool is useful and what it can offer the decision maker.

In Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics, Andrew Greasley provides an in-depth discussion of



  • Business process simulation and how it can enable business analytics




  • How business process simulation can provide speed, cost, dependability, quality, and flexibility metrics




  • Industrial case studies including improving service delivery while ensuring an efficient use of staff in public sector organizations such as the police service, testing the capacity of planned production facilities in manufacturing, and ensuring on-time delivery in logistics systems




  • State-of-the-art developments in business process simulation regarding the generation of simulation analytics using process mining and modeling people's behavior


Managers and decision makers will learn how simulation provides a faster, cheaper and less risky way of observing the future performance of a real-world system. The book will also benefit personnel already involved in simulation development by providing a business perspective on managing the process of simulation, ensuring simulation results are implemented, and that performance is improved.

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Yes, you can access Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics by Andrew Greasley in PDF and/or ePUB format, as well as other popular books in Business & Business Strategy. We have over one million books available in our catalogue for you to explore.

Information

Publisher
De Gruyter
Year
2019
Print ISBN
9781547416745
eBook ISBN
9781547400690
Edition
1

Table of contents

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