Simulating business processes for descriptive, predictive, and prescriptive analytics/ Andrew Greasley.

Greasley  Andrew

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dc.contributor.author	Greasley Andrew
dc.date.accessioned	2024-01-29T21:42:04Z
dc.date.available	2024-01-29T21:42:04Z
dc.date.issued	2019
dc.identifier.citation	Greasley. Simulating business processes for descriptive, predictive, and prescriptive analytics - 1 online resource (x, 341 pages) : - URL: https://libweb.kpfu.ru/ebsco/pdf/2330456.pdf
dc.identifier.isbn	9781547400713
dc.identifier.isbn	1547400714
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/179784
dc.description	Includes bibliographical references (pages 336-337) and index.
dc.description.abstract	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 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. --
dc.description.tableofcontents	Frontmatter -- Preface -- Acknowledgments -- About the author -- part 1: Understanding simulation and analytics. Analytics and simulation basics -- Simulation and business processes -- Build the conceptual model -- Build the simulation -- Use simulation for descriptive, predictive and prescriptive analytics -- part 2: Simulation case studies. Case study: a simulation of a police call center -- Case study: A simulation of a "Last Mile" logistics system -- Case Study: A simulation of an enterprise resource planning system -- Case study: A simulation of a snacks process production system -- Case study: A simulation of a police arrest process -- Case study: A simulation of a food retail distribution network -- Case study: A simulation of a proposed textile plant -- Case study: A simulation of a road traffic accident process -- Case study: A simulation of a rail carriage maintenance depot -- Case study: A simulation of a rail vehicle bogie production facility -- Case study: A simulation of advanced service provision -- Case study: Generating simulation analytics with process mining -- Chapter 18. Case study: Using simulation with data envelopment analysis -- Case study: Agent-based modeling in discrete-event simulation -- Appendix A -- Appendix B -- Index.
dc.language	English
dc.language.iso	en
dc.subject.other	Decision making -- Simulation methods.
dc.subject.other	Management -- Statistical methods.
dc.subject.other	Business intelligence.
dc.subject.other	Business intelligence.
dc.subject.other	Decision making -- Simulation methods.
dc.subject.other	Management -- Statistical methods.
dc.subject.other	Electronic books.
dc.title	Simulating business processes for descriptive, predictive, and prescriptive analytics/ Andrew Greasley.
dc.type	Book
dc.description.pages	1 online resource (x, 341 pages) :
dc.collection	Электронно-библиотечные системы
dc.source.id	EN05CEBSCO05C472