Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics

Andrew Greasley

Published by De Gruyter 2019

Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics

Andrew Greasley

https://doi.org/10.1515/9781547400690

Overview
Contents

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.

Author information

Andrew Greasley lectures in Simulation Modeling and Operations Management at Aston Business School, Birmingham, UK. He has taught in the UK, Europe, and Africa for a number of institutions. Dr. Greasley has over 100 publications including five books (Operations Management, Wiley; Operations Management: Sage Course Companion, Sage; Simulation Modeling for Business, Ashgate; Business Information Systems, Pearson Education (co-author); and Enabling a Simulation Capability in the Organisation, Springer Verlag). He has provided a simulation modeling consultancy service for 30 years to a number of companies in the public and private sectors including ABB Transportation Ltd. (now Bombardier), Derbyshire Constabulary, GMT Hunslet Ltd., Golden Wonder Ltd., Hearth Woodcraft Ltd., Luxfer Gas Cylinders Ltd., Pall-Ex Holdings Ltd., Rolls Royce Ltd. (Industrial Power Group), Stanton Valves Ltd., Tecquipment Ltd., Textured Jersey Ltd. and Warwickshire Police.

Topics

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

(Deutsch)

Language: English
Publisher: De Gruyter
Audience: Managers, Decision makers, Simulation developers, Company executives
Pages
- Front matter: 10
- Main content: 342
Illustrations
- Illustrations: 127
- Tables: 20
Keywords: Simulation; Simulation capability; Advanced analytics; Modeling; Operations management; Operations research

eBook

Published: October 21, 2019
ISBN: 9781547400690

Paperback

Published: October 21, 2019
ISBN: 9781547416745