Introduction to Discrete Event Simulation and Agent-based Modeling: Voting Systems, Health Care, Military, and Manufacturing

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9780857291387: Introduction to Discrete Event Simulation and Agent-based Modeling: Voting Systems, Health Care, Military, and Manufacturing

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.

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About the Author:

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.

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“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)

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Theodore T. Allen
Editorial: Springer London 2011-01-17, London (2011)
ISBN 10: 0857291386 ISBN 13: 9780857291387
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Descripción Springer London 2011-01-17, London, 2011. hardback. Estado de conservación: New. Nº de ref. de la librería 9780857291387

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Theodore T. Allen
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Descripción Springer London Ltd, United Kingdom, 2011. Hardback. Estado de conservación: New. 2011 ed.. Language: English . Brand New 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. Nº de ref. de la librería AAZ9780857291387

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Theodore T. Allen
Editorial: Springer London Ltd, United Kingdom (2011)
ISBN 10: 0857291386 ISBN 13: 9780857291387
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Descripción Springer London Ltd, United Kingdom, 2011. Hardback. Estado de conservación: New. 2011 ed.. Language: English . Brand New 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. Nº de ref. de la librería AAZ9780857291387

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Theodore T. Allen
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Descripción Springer London Ltd. Hardback. Estado de conservación: new. BRAND NEW, Introduction to Discrete Event Simulation and Agent-based Modeling, Theodore T. Allen, 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. Nº de ref. de la librería B9780857291387

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Descripción Springer London Ltd, 2011. HRD. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería GB-9780857291387

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Allen, Theodore T. (Welding and Systems Engineering, The Ohio State University, Colombus, OH, USA)
Editorial: Springer London Ltd (2011)
ISBN 10: 0857291386 ISBN 13: 9780857291387
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Descripción Springer London Ltd, 2011. Estado de conservación: New. 2011. 2011th Edition. Hardcover. This book shows how simulation can facilitate improvements on the job and in communities. The reader will learn to plan a project and communicate using a charter, how to establish simultaneous intervals on key responses and apply selection and ranking, and more. Num Pages: 227 pages, 33 black & white tables, biography. BIC Classification: KJMV5; KJT; UGK; UYAM. Category: (P) Professional & Vocational. Dimension: 243 x 165 x 20. Weight in Grams: 470. . . . . . . Nº de ref. de la librería V9780857291387

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Descripción Hardback. Estado de conservación: New. Not Signed; 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. T. book. Nº de ref. de la librería ria9780857291387_rkm

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Descripción Estado de conservación: New. Depending on your location, this item may ship from the US or UK. Nº de ref. de la librería 97808572913870000000

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Descripción Springer London Ltd, 2011. HRD. Estado de conservación: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería IP-9780857291387

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