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Books > Business & Economics > Business & management > Management & management techniques > Management decision making
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Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics (Paperback)
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Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics (Paperback)
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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.
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