Introduction to Discrete Event Simulation and Agent-based Modeling

Voting Systems, Health Care, Military, and Manufacturing

  • Theodore T. Allen

Table of contents

  1. Front Matter
    Pages i-xii
  2. Theodore T. Allen
    Pages 1-7
  3. Theodore T. Allen
    Pages 9-27
  4. Theodore T. Allen
    Pages 29-42
  5. Theodore T. Allen
    Pages 43-58
  6. Theodore T. Allen
    Pages 59-77
  7. Theodore T. Allen
    Pages 79-86
  8. Theodore T. Allen
    Pages 87-110
  9. Theodore T. Allen
    Pages 111-124
  10. Theodore T. Allen
    Pages 125-144
  11. Theodore T. Allen
    Pages 145-160
  12. Theodore T. Allen
    Pages 161-174
  13. Theodore T. Allen
    Pages 175-190
  14. Theodore T. Allen
    Pages 191-207
  15. Back Matter
    Pages 209-215

About this book


Discrete event simulation and agent-based modeling are increasingly recognized as critical for diagnosing and solving process issues in complex systems. Introduction to Discrete Event Simulation and Agent-based Modeling covers the techniques needed for success in all phases of simulation projects. These include:

  • Definition – The reader will learn how to plan a project and communicate using a charter.
  • Input analysis – The reader will discover how to determine defensible sample sizes for all needed data collections. They will also learn how to fit distributions to that data.
  • Simulation – The reader will understand how simulation controllers work, the Monte Carlo (MC) theory behind them, modern verification and validation, and ways to speed up simulation using variation reduction techniques and other methods.
  • Output analysis – The reader will be able to establish simultaneous intervals on key responses and apply selection and ranking, design of experiments (DOE), and black box optimization to develop defensible improvement recommendations.
  • Decision support – Methods to inspire creative alternatives are presented, including lean production. Also, over one hundred solved problems are provided and two full case studies, including one on voting machines that received international attention.

Introduction to Discrete Event Simulation and Agent-based Modeling demonstrates how simulation can facilitate improvements on the job and in local communities. It allows readers to competently apply technology considered key in many industries and branches of government. It is suitable for undergraduate and graduate students, as well as researchers and other professionals.


Discrete Event Simulation Elections Statistical Simulation Variance-Reduction Waiting Lines

Authors and affiliations

  • Theodore T. Allen
    • 1
  1. 1., Industrial and Systems EngineeringThe Ohio State UniversityColumbusUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag London Limited 2011
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-0-85729-138-7
  • Online ISBN 978-0-85729-139-4
  • Buy this book on publisher's site
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