Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics / / Andrew Greasley.
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...
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Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2019] ©2019 |
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Greasley, Andrew, author. aut http://id.loc.gov/vocabulary/relators/aut Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics / Andrew Greasley. Berlin ; Boston : De Gruyter, [2019] ©2019 1 online resource (X, 342 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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 restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) Business intelligence. Decision making Simulation methods. Management Statistical methods. BUSINESS & ECONOMICS / Information Management. bisacsh Advanced analytics. Modeling. Operations management. Operations research. Simulation capability. Simulation. Assi, Anand, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Greasley, Andrew, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Musa, Emmanuel, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Smith, Chris M., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Vallejos, Melissa Venegas, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Wang, Yucan, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Title is part of eBook package: De Gruyter DG Plus eBook-Package 2019 9783110719567 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2019 English 9783110610765 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2019 9783110664232 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2019 English 9783110610154 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2019 9783110606096 ZDB-23-DEI EPUB 9781547400713 print 9781547416745 https://doi.org/10.1515/9781547400690 https://www.degruyter.com/isbn/9781547400690 Cover https://www.degruyter.com/cover/covers/9781547400690.jpg |
language |
English |
format |
eBook |
author |
Greasley, Andrew, Greasley, Andrew, |
spellingShingle |
Greasley, Andrew, Greasley, Andrew, Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics / 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 |
author_facet |
Greasley, Andrew, Greasley, Andrew, Assi, Anand, Assi, Anand, Greasley, Andrew, Greasley, Andrew, Musa, Emmanuel, Musa, Emmanuel, Smith, Chris M., Smith, Chris M., Vallejos, Melissa Venegas, Vallejos, Melissa Venegas, Wang, Yucan, Wang, Yucan, |
author_variant |
a g ag a g ag |
author_role |
VerfasserIn VerfasserIn |
author2 |
Assi, Anand, Assi, Anand, Greasley, Andrew, Greasley, Andrew, Musa, Emmanuel, Musa, Emmanuel, Smith, Chris M., Smith, Chris M., Vallejos, Melissa Venegas, Vallejos, Melissa Venegas, Wang, Yucan, Wang, Yucan, |
author2_variant |
a a aa a a aa a g ag a g ag e m em e m em c m s cm cms c m s cm cms m v v mv mvv m v v mv mvv y w yw y w yw |
author2_role |
MitwirkendeR MitwirkendeR MitwirkendeR MitwirkendeR MitwirkendeR MitwirkendeR MitwirkendeR MitwirkendeR MitwirkendeR MitwirkendeR MitwirkendeR MitwirkendeR |
author_sort |
Greasley, Andrew, |
title |
Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics / |
title_full |
Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics / Andrew Greasley. |
title_fullStr |
Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics / Andrew Greasley. |
title_full_unstemmed |
Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics / Andrew Greasley. |
title_auth |
Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics / |
title_alt |
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 |
title_new |
Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics / |
title_sort |
simulating business processes for descriptive, predictive, and prescriptive analytics / |
publisher |
De Gruyter, |
publishDate |
2019 |
physical |
1 online resource (X, 342 p.) |
contents |
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 |
isbn |
9781547400690 9783110719567 9783110610765 9783110664232 9783110610154 9783110606096 9781547400713 9781547416745 |
callnumber-first |
H - Social Science |
callnumber-subject |
HD - Industries, Land Use, Labor |
callnumber-label |
HD30 |
callnumber-sort |
HD 230.23 G899 42019 |
url |
https://doi.org/10.1515/9781547400690 https://www.degruyter.com/isbn/9781547400690 https://www.degruyter.com/cover/covers/9781547400690.jpg |
illustrated |
Not Illustrated |
doi_str_mv |
10.1515/9781547400690 |
oclc_num |
1125186018 |
work_keys_str_mv |
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n |
ids_txt_mv |
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Title is part of eBook package: De Gruyter DG Plus eBook-Package 2019 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2019 English Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2019 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2019 English Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2019 |
is_hierarchy_title |
Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics / |
container_title |
Title is part of eBook package: De Gruyter DG Plus eBook-Package 2019 |
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