Supply Chain Planning Quantitative Decision Support and Advanced Pla
Today supply chain management (SCM) is recognized as a powerful competitive weapon. This book addresses decision making activities in SCM at the strategic, tactical and operational decision level. It presents recent research results on collaborative plann
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Hans-Otto Günther • Herbert Meyr Editors
Supply Chain Planning Quantitative Decision Support and Advanced Planning Solutions
Prof. Dr. Hans-Otto Günther TU Berlin H 95 Department of Production Management Straße des 17. Juni 135 10623 Berlin Germany [email protected]
ISBN 978-3-540-93774-6
Prof. Dr. Herbert Meyr TU Darmstadt Department of Production and Supply Chain Management Hochschulstr. 1 64289 Darmstadt Germany [email protected]
e-ISBN 978-3-540-93775-3
DOI 10.1007/978-3-540-93775-3 Library of Congress Control Number: 2008943995 © 2009 Springer-Verlag Berlin Heidelberg This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permissions for use must always be obtained from Springer-Verlag. Violations are liable for prosecution under the German Copyright Law. The use of general descriptive names, 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 protective laws and regulations and therefore free for general use. Cover design: WMXDesign GmbH, Heidelberg, Germany Printed on acid-free paper 987654321 springer.com
Preface
In recent years, supply chain planning has emerged as one of the most challenging problems in the industry. As a consequence, the planning focus is shifting from the management of plant-specific operations to a holistic view of the various logistics and production stages, that is an approach in which suppliers, production plants and customers are considered as constituents of an integrated network. A major driving force behind this development lies in the globalization of the world economy, which has facilitated the co-operation between different partners working together in world-wide logistics networks. Hence, considerable cost savings can be gained from optimizing the structure and the operations of complex supply networks linking plants, suppliers, distribution centres and customers. Consequently, to improve the performance of the entire logistic chain, more sophisticated planning systems and more effective decision support are needed. Clearly, successful applications of supply chain management have driven the development of advanced planning systems (APS), which are concerned with supporting decision-making activities at the strategic, tactical and operational decision level. These software packages basically rely on the application of quantitative methods, which are used to model the underlying complex decision problems considering the limited availability of resources and the need to react on time to customer orders. The core module at the mid-term level of
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