Introduction to Discrete Event Simulation and Agent-based Modeling
Voting Systems, Health Care, Military, and Manufacturing
Authors: Allen, Theodore
Free Preview- Provides readers with the ability to competently apply key technology
- Includes a case study of the author's work on the 2008 USA presidential election process
- Offers numerous problems and solutions
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- About this Textbook
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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.
- About the authors
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Dr. Theodore Allen is an Associate Professor in Integrated Systems Engineering at The Ohio State University and a co-founder of the software company, Sagata Ltd. He is a fellow of the American Society of Quality, the winner of several teaching awards, and the recipient of fellowships from Honda and Ford. His previous textbook (2nd edition) is in use at many universities.
- Reviews
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From the reviews:
“The unique feature of Introduction to Discrete Event Simulation and Agent-based Modeling: Voting Systems, Health Care, Military, and Manufacturing is its use of a consistent case study (i.e., voting system) in all chapters, an approach that should help students learn how to conduct a full simulation modelling project. … I have recommended it to students of an undergraduate- and a graduate-level introductory course in computer simulation. … In summary, this text will be suitable for anybody who is seeking a concise introduction to computer simulation.” (Stephan Onggo, Interfaces, Vol. 42 (3), May-June, 2012)
- Table of contents (13 chapters)
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Introduction
Pages 1-7
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Probability Theory and Monte Carlo
Pages 9-27
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Input Analysis
Pages 29-42
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Simulating Waiting Times
Pages 43-58
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Output Analysis
Pages 59-77
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Table of contents (13 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Introduction to Discrete Event Simulation and Agent-based Modeling
- Book Subtitle
- Voting Systems, Health Care, Military, and Manufacturing
- Authors
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- Theodore Allen
- Copyright
- 2011
- Publisher
- Springer-Verlag London
- Copyright Holder
- Springer-Verlag London Limited
- eBook ISBN
- 978-0-85729-139-4
- DOI
- 10.1007/978-0-85729-139-4
- Hardcover ISBN
- 978-0-85729-138-7
- Softcover ISBN
- 978-1-4471-5725-0
- Edition Number
- 1
- Number of Pages
- XII, 215
- Topics
