Introduction to Discrete Event Simulation and Agent-based Modeling V
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 su
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Theodore T. Allen, PhD
Introduction to Discrete Event Simulation and Agent-based Modeling Voting Systems, Health Care, Military, and Manufacturing
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Dr. Theodore T. Allen, PhD Integrated Systems Engineering The Ohio State University 210 Baker Systems 1971 Neil Avenue Columbus, OH 43210-1271 USA e-mail: [email protected]
ISBN 978-0-85729-138-7
e-ISBN 978-0-85729-139-4
DOI 10.1007/978-0-85729-139-4 Springer London Dordrecht Heidelberg New York British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Ó Springer-Verlag London Limited 2011 Microsoft, Powerpoint, Visio, Visual Studio, and Windows are either registered trademarks or trademarks of Microsoft Corporation in the United States and/or other countries. Rockwell is a registered trademark of Rockwell Automation, 11520 West Calumet, Milwaukee, WI 53224, USA, http://www.rockwellautomation.com. Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licenses issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers. The use of registered names, trademarks, etc., in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant laws and regulations and therefore free for general use. The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. Cover design: eStudio Calamar S.L. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Foreword
The main purpose of this text is to provide an up-to-date foundation for applying discrete event simulation and agent-based modeling. It is perhaps true that no other book covers as many topics of interest for providing real-world decision-support including: 1. Open source simulation programming including Visual Basic (VB) and NetLogo which provide inexpensive options for businesses, 2. Agent-based modeling, 3. Variance-reduction techniques such as Latin-Hypercube sampling, 4. Process improvement opportunity identification using the theory of constraints, lean production, and other contemporary methods, 5. Output analysis including selection and ranking and design of experiments, 6. Black box simulation and multi-fidelity optimization, 7. Quasi-Monte Carlo, 8. Subjectivity including the nature of probabilities and empirical distributions, 9. Input analysis including samples sizes and distributions fitting, and 10. Introduction to well-known software packages (ARENA and SIMIO). As a result, this
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