Skip to content
You are not logged in |Login  
     
Limit search to available items
Record 51 of 60
Record:   Prev Next
Resources
More Information
Bestseller
BestsellerE-book
Author Greasley, Andrew, author.

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

Publication Info. [Boston, Mass.?] : De G Press, [2019]
©2019

Item Status

Description 1 online resource (x, 341 pages) : illustrations
Physical Medium polychrome
Description text file
Bibliography Includes bibliographical references (pages 336-337) and index.
Summary 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. -- Provided by publisher.
Contents 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.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Decision making -- Simulation methods.
Decision making -- Simulation methods.
Management -- Statistical methods.
Management -- Statistical methods.
Business intelligence.
Business intelligence.
Genre/Form Electronic books.
Other Form: Print version: Greasley, Andrew. Simulating business processes for descriptive, predictive, and prescriptive analytics. [Boston, Mass.?] : De G Press, [2019] 9781547416745 (DLC) 2019937567 (OCoLC)1126282340
ISBN 9781547400713 (electronic book)
1547400714 (electronic book)
9781547416745
1547416742