Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 594)
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Table of contents(6 chapters)
About this book
More and more often practitioners in process industry have to adapt their global production networks to changes in the competitive environment. A majority of the supply network design models proposed by academia does not sufficiently capture the economic and technical questions that have to be resolved. This work seeks to provide the necessary operations research decision support tools. It builds on the example of specialty chemicals industry, which faces a strong increase of competitive pressure and historically grown production networks that typically lack a coherent design strategy. Decision makers have to define a global production network re-design strategy. Therefore, the book proposes a planning process split into the two phases: global production network optimization and individual site selection. To support the former a comprehensive Mixed-Integer Linear Programming model is proposed while an approach based on the Analytic Hierarchy Process is suggested for the latter. Findings from a case study demonstrate the applicability of OR methods to real-world production networks.
Authors and Affiliations
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McKinsey & Company, Inc., Berlin, Germany
Reinhard Hübner
Bibliographic Information
Book Title: Strategic Supply Chain Management in Process Industries
Book Subtitle: An Application to Specialty Chemicals Production Network Design
Authors: Reinhard Hübner
Series Title: Lecture Notes in Economics and Mathematical Systems
DOI: https://doi.org/10.1007/978-3-540-72182-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Softcover ISBN: 978-3-540-72180-2Published: 06 June 2007
eBook ISBN: 978-3-540-72182-6Published: 13 June 2007
Series ISSN: 0075-8442
Series E-ISSN: 2196-9957
Edition Number: 1
Number of Pages: XII, 243
Topics: Operations Management, Operations Research/Decision Theory