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.
Author / Editor 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
-
Download PDFPublicly Available
Frontmatter
I -
Download PDFPublicly Available
Preface
V -
Download PDFPublicly Available
Acknowledgments
VII -
Download PDFPublicly Available
About the Author
VIII -
Download PDFPublicly Available
Contents
IX - Part 1: Understanding Simulation and Analytics
-
Download PDFRequires Authentication UnlicensedLicensed
Chapter 1. Analytics and Simulation Basics
3 -
Download PDFRequires Authentication UnlicensedLicensed
Chapter 2. Simulation and Business Processes
52 -
Download PDFRequires Authentication UnlicensedLicensed
Chapter 3. Build the Conceptual Model
67 -
Download PDFRequires Authentication UnlicensedLicensed
Chapter 4. Build the Simulation
110 -
Download PDFRequires Authentication UnlicensedLicensed
Chapter 5. Use Simulation for Descriptive, Predictive and Prescriptive Analytics
154 - Part 2: Simulation Case Studies
-
Download PDFRequires Authentication UnlicensedLicensed
Chapter 6. Case Study: A Simulation of a Police Call Center
195 -
Download PDFRequires Authentication UnlicensedLicensed
Chapter 7. Case Study: A Simulation of a “Last Mile” Logistics System
206 -
Download PDFRequires Authentication UnlicensedLicensed
Chapter 8. Case Study: A Simulation of an Enterprise Resource Planning System
214 -
Download PDFRequires Authentication UnlicensedLicensed
Chapter 9. Case Study: A Simulation of a Snacks Process Production System
230 -
Download PDFRequires Authentication UnlicensedLicensed
Chapter 10. Case Study: A Simulation of a Police Arrest Process
239 -
Download PDFRequires Authentication UnlicensedLicensed
Chapter 11. Case Study: A Simulation of a Food Retail Distribution Network
249 -
Download PDFRequires Authentication UnlicensedLicensed
Chapter 12. Case Study: A Simulation of a Proposed Textile Plant
259 -
Download PDFRequires Authentication UnlicensedLicensed
Chapter 13. Case Study: A Simulation of a Road Traffic Accident Process
271 -
Download PDFRequires Authentication UnlicensedLicensed
Chapter 14. Case Study: A Simulation of a Rail Carriage Maintenance Depot
280 -
Download PDFRequires Authentication UnlicensedLicensed
Chapter 15. Case Study: A Simulation of a Rail Vehicle Bogie Production Facility
289 -
Download PDFRequires Authentication UnlicensedLicensed
Chapter 16. Case Study: A Simulation of Advanced Service Provision
298 -
Download PDFRequires Authentication UnlicensedLicensed
Chapter 17. Case Study: Generating Simulation Analytics with Process Mining
308 -
Download PDFRequires Authentication UnlicensedLicensed
Chapter 18. Case Study: Using Simulation with Data Envelopment Analysis
321 -
Download PDFRequires Authentication UnlicensedLicensed
Chapter 19. Case Study: Agent-Based Modeling in Discrete-Event Simulation
325 -
Download PDFRequires Authentication UnlicensedLicensed
Appendix A
336 -
Download PDFRequires Authentication UnlicensedLicensed
Appendix B
337 -
Download PDFRequires Authentication UnlicensedLicensed
Index
338
-
Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com