TY - BOOK
T1 - Simulating Business Processes for Descriptive, Predictive and Prescriptive Analytics
AU - Greasley, Andrew
PY - 2019/10/21
Y1 - 2019/10/21
N2 - 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 ofBusiness process simulation and how it can enable business analyticsHow business process simulation can provide speed, cost, dependability, quality, and flexibility metricsIndustrial 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 systemsState-of-the-art developments in business process simulation regarding the generation of simulation analytics using process mining and modeling people’s behaviorManagers 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.
AB - 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 ofBusiness process simulation and how it can enable business analyticsHow business process simulation can provide speed, cost, dependability, quality, and flexibility metricsIndustrial 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 systemsState-of-the-art developments in business process simulation regarding the generation of simulation analytics using process mining and modeling people’s behaviorManagers 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.
KW - Advanced analytics
KW - Modeling
KW - Operations management
KW - Operations research
KW - Simulation
KW - Simulation capability
UR - http://www.scopus.com/inward/record.url?scp=85075370177&partnerID=8YFLogxK
UR - https://www.degruyter.com/view/title/537989
U2 - 10.1515/9781547400690
DO - 10.1515/9781547400690
M3 - Book
AN - SCOPUS:85075370177
SN - 9781547416745
BT - Simulating Business Processes for Descriptive, Predictive and Prescriptive Analytics
PB - Walter De Gruyter
ER -