View in EDS PDF Full Text

Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics

Saved in:
Bibliographic Details
Title: Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics
Description: 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.
Authors: Andrew Greasley
Resource Type: eBook.
Subjects: Decision making--Simulation methods, Management--Statistical methods, Business intelligence
Categories: BUSINESS & ECONOMICS / Information Management, BUSINESS & ECONOMICS / Decision-Making & Problem Solving, BUSINESS & ECONOMICS / Strategic Planning, COMPUTERS / Business & Productivity Software / Business Intelligence, COMPUTERS / Computer Simulation
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 2330456
RelevancyScore: 1090
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1090.09973144531
IllustrationInfo
ImageInfo – Size: thumb
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$2330456$PDF&s=r
– Size: medium
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$2330456$PDF&s=d
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics
– Name: Abstract
  Label: Description
  Group: Ab
  Data: 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.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Andrew+Greasley%22">Andrew Greasley</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Decision+making--Simulation+methods%22">Decision making--Simulation methods</searchLink><br /><searchLink fieldCode="DE" term="%22Management--Statistical+methods%22">Management--Statistical methods</searchLink><br /><searchLink fieldCode="DE" term="%22Business+intelligence%22">Business intelligence</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22BUSINESS+%26+ECONOMICS+%2F+Information+Management%22">BUSINESS & ECONOMICS / Information Management</searchLink><br /><searchLink fieldCode="ZK" term="%22BUSINESS+%26+ECONOMICS+%2F+Decision-Making+%26+Problem+Solving%22">BUSINESS & ECONOMICS / Decision-Making & Problem Solving</searchLink><br /><searchLink fieldCode="ZK" term="%22BUSINESS+%26+ECONOMICS+%2F+Strategic+Planning%22">BUSINESS & ECONOMICS / Strategic Planning</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Business+%26+Productivity+Software+%2F+Business+Intelligence%22">COMPUTERS / Business & Productivity Software / Business Intelligence</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Computer+Simulation%22">COMPUTERS / Computer Simulation</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=2330456
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 658.472
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Decision making--Simulation methods
        Type: general
      – SubjectFull: Management--Statistical methods
        Type: general
      – SubjectFull: Business intelligence
        Type: general
    Titles:
      – TitleFull: Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Andrew Greasley
      – PersonEntity:
          Name:
            NameFull: Andrew Greasley
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2019
            – D: 06
              M: 03
              Type: profile
              Y: 2020
          Identifiers:
            – Type: isbn-print
              Value: 9781547416745
            – Type: isbn-electronic
              Value: 9781547400690
            – Type: isbn-electronic
              Value: 9781547400713
          Titles:
            – TitleFull: Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics
              Type: main
ResultId 1