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008 210830t20192019gw fo d z eng d
010 _a2019937567
020 _a9781547400690
024 7 _a10.1515/9781547400690
_2doi
035 _a(DE-B1597)494957
035 _a(OCoLC)1125186018
040 _aDE-B1597
_beng
_cDE-B1597
_erda
041 0 _aeng
044 _agw
_cDE
050 0 0 _aHD30.23
_b.G899 2019
072 7 _aBUS083000
_2bisacsh
084 _aQP 340
_2rvk
_0(DE-625)rvk/141861:
100 1 _aGreasley, Andrew,
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_977870
245 1 0 _aSimulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics /
_cAndrew Greasley.
264 1 _aBerlin ;
_aBoston :
_bDe Gruyter,
_c[2019]
264 4 _c©2019
300 _a1 online resource (X, 342 p.)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 0 _tFrontmatter --
_tPreface --
_tAcknowledgments --
_tAbout the Author --
_tContents --
_tPart 1: Understanding Simulation and Analytics --
_tChapter 1. Analytics and Simulation Basics --
_tChapter 2. Simulation and Business Processes --
_tChapter 3. Build the Conceptual Model --
_tChapter 4. Build the Simulation --
_tChapter 5. Use Simulation for Descriptive, Predictive and Prescriptive Analytics --
_tPart 2: Simulation Case Studies --
_tChapter 6. Case Study: A Simulation of a Police Call Center --
_tChapter 7. Case Study: A Simulation of a "Last Mile" Logistics System --
_tChapter 8. Case Study: A Simulation of an Enterprise Resource Planning System --
_tChapter 9. Case Study: A Simulation of a Snacks Process Production System --
_tChapter 10. Case Study: A Simulation of a Police Arrest Process --
_tChapter 11. Case Study: A Simulation of a Food Retail Distribution Network --
_tChapter 12. Case Study: A Simulation of a Proposed Textile Plant --
_tChapter 13. Case Study: A Simulation of a Road Traffic Accident Process --
_tChapter 14. Case Study: A Simulation of a Rail Carriage Maintenance Depot --
_tChapter 15. Case Study: A Simulation of a Rail Vehicle Bogie Production Facility --
_tChapter 16. Case Study: A Simulation of Advanced Service Provision --
_tChapter 17. Case Study: Generating Simulation Analytics with Process Mining --
_tChapter 18. Case Study: Using Simulation with Data Envelopment Analysis --
_tChapter 19. Case Study: Agent-Based Modeling in Discrete-Event Simulation --
_tAppendix A --
_tAppendix B --
_tIndex
506 0 _arestricted access
_uhttp://purl.org/coar/access_right/c_16ec
_fonline access with authorization
_2star
520 _aThis 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.
538 _aMode of access: Internet via World Wide Web.
546 _aIn English.
588 0 _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021)
650 0 _aBusiness intelligence.
_915256
650 0 _aDecision making
_xSimulation methods.
_977871
650 0 _aManagement
_xStatistical methods.
_95728
650 7 _aBUSINESS & ECONOMICS / Information Management.
_2bisacsh
_975636
653 _aAdvanced analytics.
653 _aModeling.
653 _aOperations management.
653 _aOperations research.
653 _aSimulation capability.
653 _aSimulation.
700 1 _aAssi, Anand,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_977872
700 1 _aGreasley, Andrew,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_977870
700 1 _aMusa, Emmanuel,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_977873
700 1 _aSmith, Chris M.,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_977874
700 1 _aVallejos, Melissa Venegas,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_977875
700 1 _aWang, Yucan,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_977876
773 0 8 _iTitle is part of eBook package:
_dDe Gruyter
_tDG Plus eBook-Package 2019
_z9783110719567
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856 4 0 _uhttps://doi.org/10.1515/9781547400690
856 4 0 _uhttps://www.degruyter.com/isbn/9781547400690
856 4 2 _3Cover
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