Adaptive Supply Chain Management
The recent transformation of the world’s economic environment necessitates the re-thinking of supply chain management (SCM) goals and decision-making techniques. Adaptive Supply Chain Management develops new viewpoints on the SCM goal paradigm, problem se
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Dmitry Ivanov ⋅ Boris Sokolov
Adaptive Supply Chain Management
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Dr. Dmitry Ivanov Chemnitz University of Technology Department of Economics and Business Administration 09107 Chemnitz Germany [email protected] www.ivanov-scm.com
Prof. Dr.-Ing. Boris Sokolov Saint Petersburg Institute of Informatics and Automation of the Russian Academy of Science (SPIIRAS) 14th Line VO 39 St. Petersburg 199178 Russia [email protected]
ISBN 978-1-84882-951-0 e-ISBN 978-1-84882-952-7 DOI 10.1007/978-1-84882-952-7 Springer London Dordrecht Heidelberg New York British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Control Number: 2009940569 © Springer-Verlag London Limited 2010 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 licences 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: eStudioCalamar, Figueres/Berlin Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
With special gratitude to our dear families who endured the work on this book with encouraging smiles and to so many sincere friends and colleagues
Foreword Research on decision-making support for supply chain management (SCM) has been conducted from different perspectives so far. Though considerable advancements have been achieved in operations research, control theory, evolutionary algorithms, and agent-based systems, their isolated application frequently led to inevitable problem simplifications. In the worst cases, the artificial transformation of a real problem to a specific problem to apply particular solution techniques could be stated as examples. The comprehensive and near-real-world frameworks for decisionmaking support in SCM require solid skills from the investigators in both business administration, information technologies, and mathematical modelling. Fortunately, the joint knowledge of the authors of this book provides the required skills at a very high level, which could ensure the advancements in SCM decision-making support as described in this book. Unlike many other researchers who consider SCM as a new application do
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