Optimization and Decision Support Systems for Supply Chains
This contributed volume presents a collection of materials on supply chain management including industry-based case studies addressing petrochemical, pharmaceutical, manufacturing and reverse logistics topics. Moreover, the book covers sustainability issu
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Ana Paula Barbosa-Póvoa Albert Corominas João Luís de Miranda Editors
Optimization and Decision Support Systems for Supply Chains
Lecture Notes in Logistics Series editors Uwe Clausen, Dortmund, Germany Michael ten Hompel, Dortmund, Germany Robert de Souza, Singapore, Singapore
More information about this series at http://www.springer.com/series/11220
Ana Paula Barbosa-Póvoa Albert Corominas João Luís de Miranda •
Editors
Optimization and Decision Support Systems for Supply Chains
123
Editors Ana Paula Barbosa-Póvoa Department of Engineering and Management Instituto Superior Técnico Lisbon Portugal
João Luís de Miranda ESTG/IPP Portalegre Portugal and
Albert Corominas Department of Management Institute of Industrial and Control Engineering Barcelona Spain
ISSN 2194-8917 Lecture Notes in Logistics ISBN 978-3-319-42419-4 DOI 10.1007/978-3-319-42421-7
CERENA/IST Lisboa Portugal
ISSN 2194-8925
(electronic)
ISBN 978-3-319-42421-7
(eBook)
Library of Congress Control Number: 2016945779 © Springer International Publishing Switzerland 2017 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. 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. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
Preface
Since their inception in 1982, supply chain and supply chain management (SC/SCM) has come to achieve a dominant role as integrative concepts concerning the broad field of management. Among the reasons for this success can be pointed out, first, that SC/SCM is an updated attempt to give a systemic view of activities and flows that occur when supplying, producing, distributing and recovering one or more products and, second, that they establish the appropriate framework to describe, analyse and solve the new problems that have emerged as a consequence of the evolution of the increasingly complex real production systems. Hence, powerful decision support system (DSS) and optimization tools are required to deal with the new mana
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