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