Handbook of Stochastic Models and Analysis of Manufacturing System Operations

This handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using analytical models to design and control manufacturing systems and their operations entail critical stochastic

  • PDF / 10,357,215 Bytes
  • 396 Pages / 439.43 x 683.15 pts Page_size
  • 116 Downloads / 228 Views

DOWNLOAD

REPORT


J. MacGregor Smith Barış Tan Editors

Handbook of Stochastic Models and Analysis of Manufacturing System Operations

International Series in Operations Research & Management Science

Volume 192

Series Editor Frederick S. Hillier Stanford University, CA, USA Special Editorial Consultant Camille C. Price Stephen F. Austin State University, TX, USA

For further volumes: http://www.springer.com/series/6161

J. MacGregor Smith



Barıs¸ Tan

Editors

Handbook of Stochastic Models and Analysis of Manufacturing System Operations

123

Editors J. MacGregor Smith MIE Department University of Massachusetts Amherst Amherst, Massachusetts USA

Barıs¸ Tan College of Administrative Sciences and Economics Koc¸ University Sarıyer, Istanbul, Turkey

ISSN 0884-8289 ISBN 978-1-4614-6776-2 ISBN 978-1-4614-6777-9 (eBook) DOI 10.1007/978-1-4614-6777-9 Springer New York Heidelberg Dordrecht London Library of Congress Control Number: 2013933704 © Springer Science+Business Media New York 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)

This volume is dedicated to Professor Christos T. Papadopoulos, the founder of the conference series which has led to the formation of the Stochastic Models of Manufacturing and Service Operations (SMMSO) of which the contributors of this volume ar