Simulation Modelling
eBook - ePub

Simulation Modelling

Concepts, Tools and Practical Business Applications

  1. 386 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Simulation Modelling

Concepts, Tools and Practical Business Applications

Book details
Table of contents
Citations

About This Book

While simulation has a vast area of application, this textbook focuses on the use of simulation to analyse business processes. It provides an up-to-date coverage of all stages of the discrete-event simulation (DES) process, covering important areas such as conceptual modelling, modelling input data, verification and validation and simulation output analysis.

The book is comprehensive yet uncomplicated, covering the theoretical aspects of the subject and the practical elements of a typical simulation project, demonstrated by cases, examples and exercises. It also shows how simulation relates to new developments in machine learning, big data analytics and conceptual modelling techniques. Guidance is provided on how to build DES models using the Arena, Simio and Simul8 simulation software, and tutorials for using the software are incorporated throughout.

Simulation Modelling offers a uniquely practical and end-to-end overview of the subject, which makes it perfect required or recommended reading for advanced undergraduate and postgraduate students studying business simulation and simulation modelling as part of operations research, business analytics, supply chain management and computer science courses.

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Yes, you can access Simulation Modelling by Andrew Greasley in PDF and/or ePUB format, as well as other popular books in Business & Operations. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Routledge
Year
2022
ISBN
9781000648829
Edition
1
Topic
Business
Subtopic
Operations
Index
Business

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. 1 Introduction
  7. 2 Overview of the Steps in a Simulation Modelling Study
  8. 3 Conceptual Modelling (Abstraction)
  9. 4 Conceptual Modelling (Explanatory Model)
  10. 5 Conceptual Modelling (Descriptive Model)
  11. 6 Data Collection
  12. 7 Building the Simulation Model
  13. 8 Verification and Validation
  14. 9 Experimentation: Simulation Output Analysis
  15. 10 Experimentation: Simulation Scenario Analysis
  16. 11 Implementing and Introducing Simulation
  17. 12 Hybrid Simulation: (Combining DES, ABS and SD)
  18. 13 Hybrid Modelling: (Combining Model-Driven and Data-Driven Analysis)
  19. Index