Quantitative Models for Value-Based Supply Chain Management
Supply chain management (SCM) strives for creating competitive advantage and value for customers by integrating business processes from end users through original suppliers. However, the question of how SCM influences the value of a firm is n
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Marcus Brandenburg
Quantitative Models for Value-Based Supply Chain Management
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Dipl. Math. Marcus Brandenburg Chair of Supply Chain Management University of Kassel Kassel, Germany
ISSN 0075-8442 ISBN 978-3-642-31303-5 ISBN 978-3-642-31304-2 (eBook) DOI 10.1007/978-3-642-31304-2 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2012950141 © Springer-Verlag Berlin Heidelberg 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)
Foreword
The increasing relevance of supply chains for a wide range of products shifts competitiveness from the single company to the supply chain level. While this seems an agreed upon fact, appropriate instruments allowing the in-depth analysis of different value drivers for supply chain management are rather scarce so far. Much of the previous analysis stays on a descriptive level, where the assessed effects are explained mainly by qualitative arguments. This is the research gap that Marcus Brandenburg addresses in his thesis on “Quantitative Models for Value-Based Supply Chain Management”. Therefore, these different methodological approaches are taken and combined with applications and empirical pieces of research. Taking a look at the o
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