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First Edition
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6134991716 ISBN 13: 9786134991711
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 104 pages. 8.66x5.91x0.24 inches. In Stock.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6134991716 ISBN 13: 9786134991711
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Dynamic Scheduling by Agent Based Holonic Manufacturing System | Concepts, Framework, Execution | Tarun Jana | Taschenbuch | 104 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786134991711 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Springer London, Springer London, 2014
ISBN 10: 1447157257 ISBN 13: 9781447157250
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Taschenbuch. Condition: Neu. Introduction to Discrete Event Simulation and Agent-based Modeling | Voting Systems, Health Care, Military, and Manufacturing | Theodore T. Allen | Taschenbuch | xii | Englisch | 2014 | Springer | EAN 9781447157250 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Condition: Used. pp. 340.
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Condition: Used. pp. 340.
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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