Value Chain Management in the Chemical Industry Global Value Chain P
Supply chain management helped companies to manage volumes, fulfil customer demand and optimize costs in production and distribution. Specifically, chemical industry companies with high complexity in production and distribution used supply chain managemen
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Matthias Kannegiesser
Value Chain Management in the Chemical Industry Global Value Chain Planning of Commodities
Physica-Verlag A Springer Company
Value Chain Management in the Chemical Industry
Matthias Kannegiesser
Value Chain Management in the Chemical Industry Global Value Chain Planning of Commodities
Physica-Verlag A Springer Company
Author Matthias Kannegiesser Danziger Straße 35 10435 Berlin Germany [email protected]
Diss., TU Berlin, D83 ISBN 978-3-7908-2031-7
e-ISBN 978-3-7908-2032-4
DOI: 10.1007/978-3-7908-2032-4 Contributions to Management Science ISSN 1431-1941 Library of Congress Control Number: 2008930040 © 2008 Physica-Verlag 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 Physica-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 Printed on acid-free paper 987654321 springer.com
Foreword
Over the last three decades, research and industry intensively investigated effective planning and control methods in the value chain. Supply chain management (SCM) and Advanced Planning Systems (APS) became key words at the interface between business administration, operations research and computer science. Among other industries, the process industry specifically chemicals, steel and food is a primary application area for SCM and APS due to decision complexity as well as volume and value importance of material flows. Research for these industries focused on production and supply network planning. Supply chain management started to overcome functional separation by organizational units and research disciplines in marketing, sales, logistics, production, procurement and controlling towards a process-oriented thinking. But still, there was a clear separation between demand and supply as well as volume and value focus leading to local but not global optima. While production – mostly the relatively inflexible part of the chain – was in the focus of optimization and simulation models, sales and procurement prices and volumes were mainly treated as given to be fulfilled and optimized locally. Profitability was mainly measured with ex-post or static contribution margin analysis by controlling functions. This relatively stable system now faces increasing volatility and complexity due to volatile demand and raw
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