Simulating business processes for descriptive, predictive, and prescriptive analytics /:
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 sh...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
[Boston, Mass.?] :
De G Press,
[2019]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. -- |
| Beschreibung: | 1 online resource (x, 341 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 336-337) and index. |
| ISBN: | 9781547400713 1547400714 9781547400690 1547400692 |
Internformat
MARC
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| 245 | 1 | 0 | |a Simulating business processes for descriptive, predictive, and prescriptive analytics / |c Andrew Greasley. |
| 264 | 1 | |a [Boston, Mass.?] : |b De G Press, |c [2019] | |
| 264 | 4 | |c ©2019 | |
| 300 | |a 1 online resource (x, 341 pages) : |b illustrations | ||
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| 504 | |a Includes bibliographical references (pages 336-337) and index. | ||
| 520 | |a 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. -- |c Provided by publisher. | ||
| 505 | 0 | |a 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. | |
| 588 | 0 | |a Print version record. | |
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| 650 | 0 | |a Decision making |x Simulation methods. | |
| 650 | 0 | |a Management |x Statistical methods. | |
| 650 | 0 | |a Business intelligence. |0 http://id.loc.gov/authorities/subjects/sh85018300 | |
| 650 | 6 | |a Prise de décision |x Méthodes de simulation. | |
| 650 | 6 | |a Gestion |x Méthodes statistiques. | |
| 650 | 7 | |a Business intelligence |2 fast | |
| 650 | 7 | |a Decision making |x Simulation methods |2 fast | |
| 650 | 7 | |a Management |x Statistical methods |2 fast | |
| 758 | |i has work: |a Simulating business processes for descriptive, predictive, and prescriptive analytics (Text) |1 https://id.oclc.org/worldcat/entity/E39PCH6dmW83WpdTyjWDCtP8Fq |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Greasley, Andrew. |t Simulating business processes for descriptive, predictive, and prescriptive analytics. |d [Boston, Mass.?] : De G Press, [2019] |z 9781547416745 |w (DLC) 2019937567 |w (OCoLC)1126282340 |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBU-on1143218617 |
|---|---|
| _version_ | 1816796936530821120 |
| adam_text | |
| any_adam_object | |
| author | Greasley, Andrew |
| author_facet | Greasley, Andrew |
| author_role | aut |
| author_sort | Greasley, Andrew |
| author_variant | a g ag |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | H - Social Science |
| callnumber-label | HD30 |
| callnumber-raw | HD30.23 .G733 2019eb |
| callnumber-search | HD30.23 .G733 2019eb |
| callnumber-sort | HD 230.23 G733 42019EB |
| callnumber-subject | HD - Industries, Land Use, Labor |
| collection | ZDB-4-EBU |
| 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. |
| ctrlnum | (OCoLC)1143218617 |
| dewey-full | 658.472 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.472 |
| dewey-search | 658.472 |
| dewey-sort | 3658.472 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | ZDB-4-EBU-on1143218617 |
| illustrated | Illustrated |
| indexdate | 2024-11-26T14:49:36Z |
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| isbn | 9781547400713 1547400714 9781547400690 1547400692 |
| language | English |
| oclc_num | 1143218617 |
| open_access_boolean | |
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| physical | 1 online resource (x, 341 pages) : illustrations |
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| publishDate | 2019 |
| publishDateSearch | 2019 |
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| publisher | De G Press, |
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| spelling | Greasley, Andrew, author. Simulating business processes for descriptive, predictive, and prescriptive analytics / Andrew Greasley. [Boston, Mass.?] : De G Press, [2019] ©2019 1 online resource (x, 341 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Includes bibliographical references (pages 336-337) and index. 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. 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. Print version record. In English. Decision making Simulation methods. Management Statistical methods. Business intelligence. http://id.loc.gov/authorities/subjects/sh85018300 Prise de décision Méthodes de simulation. Gestion Méthodes statistiques. Business intelligence fast Decision making Simulation methods fast Management Statistical methods fast has work: Simulating business processes for descriptive, predictive, and prescriptive analytics (Text) https://id.oclc.org/worldcat/entity/E39PCH6dmW83WpdTyjWDCtP8Fq https://id.oclc.org/worldcat/ontology/hasWork Print version: Greasley, Andrew. Simulating business processes for descriptive, predictive, and prescriptive analytics. [Boston, Mass.?] : De G Press, [2019] 9781547416745 (DLC) 2019937567 (OCoLC)1126282340 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2330456 Volltext |
| spellingShingle | Greasley, Andrew Simulating business processes for descriptive, predictive, and prescriptive analytics / 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. Decision making Simulation methods. Management Statistical methods. Business intelligence. http://id.loc.gov/authorities/subjects/sh85018300 Prise de décision Méthodes de simulation. Gestion Méthodes statistiques. Business intelligence fast Decision making Simulation methods fast Management Statistical methods fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85018300 |
| title | Simulating business processes for descriptive, predictive, and prescriptive analytics / |
| title_auth | Simulating business processes for descriptive, predictive, and prescriptive analytics / |
| title_exact_search | Simulating business processes for descriptive, predictive, and prescriptive analytics / |
| title_full | Simulating business processes for descriptive, predictive, and prescriptive analytics / Andrew Greasley. |
| title_fullStr | Simulating business processes for descriptive, predictive, and prescriptive analytics / Andrew Greasley. |
| title_full_unstemmed | Simulating business processes for descriptive, predictive, and prescriptive analytics / Andrew Greasley. |
| title_short | Simulating business processes for descriptive, predictive, and prescriptive analytics / |
| title_sort | simulating business processes for descriptive predictive and prescriptive analytics |
| topic | Decision making Simulation methods. Management Statistical methods. Business intelligence. http://id.loc.gov/authorities/subjects/sh85018300 Prise de décision Méthodes de simulation. Gestion Méthodes statistiques. Business intelligence fast Decision making Simulation methods fast Management Statistical methods fast |
| topic_facet | Decision making Simulation methods. Management Statistical methods. Business intelligence. Prise de décision Méthodes de simulation. Gestion Méthodes statistiques. Business intelligence Decision making Simulation methods Management Statistical methods |
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