Introduction to Discrete Event Simulation and Agent-based Modeling: Voting Syste

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Introduction to Discrete Event Simulation and Agent-based Modeling by Theodore T. Allen

Discrete event simulation and agent-based modeling are increasingly recognized as critical for diagnosing and solving process issues in complex systems.

FORMAT
Hardcover LANGUAGE
English CONDITION
Brand New Publisher Description

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 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.

Notes

Provides readers with the ability to competently apply technology that is considered key in many industries and branches of government
Gives a case study of the author's work on the 2008 USA presidential election process
Contains numerous problems and solutions

Back Cover

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.

Table of Contents

1. Introduction.- 2. Probability Theory and Monte Carlo.- 3. Input Analysis.- 4. Simulating Waiting Times.- 5. Output Analysis.- 6. Theory of Queues.- 7. Decision Support and Voting Systems Case Study.- 8. Variance Reduction Techniques and Quasi-Monte Carlo.- 9. Simulation Software and Visual Basic.- 10. Introduction to ARENA Software.- 11. Advanced Modeling with ARENA.- 12. Agents and New Directions.- 13. Answers to Odd Problems.

Review

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)

Long Description

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.

Review Quote

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)

Feature

Provides readers with the ability to competently apply technology that is considered key in many industries and branches of government Gives a case study of the author's work on the 2008 USA presidential election process Contains numerous problems and solutions

Details ISBN0857291386 Author Theodore T. Allen Short Title INTRO TO DISCRETE EVENT SIMULA Language English ISBN-10 0857291386 ISBN-13 9780857291387 Media Book Format Hardcover Publisher Springer London Ltd Year 2011 Publication Date 2011-01-17 Imprint Springer London Ltd Place of Publication England Country of Publication United Kingdom Affiliation Welding and Systems Engineering, The Ohio State University, Colombus, OH, USA Subtitle Voting Systems, Health Care, Military, and Manufacturing Pages 215 Edition 2011th DEWEY 003.3 DOI 10.1007/978-0-85729-139-4 AU Release Date 2011-01-17 NZ Release Date 2011-01-17 UK Release Date 2011-01-17 Edition Description 2011 ed. Illustrations XII, 215 p. Country of Origin NL Product Class Description Management & Business: General Alternative 9780857291394 Audience Educational: Primary & Secondary
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