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- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 629)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
Supply relations are often governed by so-called relational contracts. These are informal agreements sustained by the value of future cooperation. Although relational contracts persist in practice, research on these types of contract is only emerging in Operations and Supply Chain Management. This book studies a two-firm supply chain, where repeated transactions via well-established supply contracts and continued quality-improvement efforts are governed by a relational contract. We are able to characterize an optimal relational contract, i.e., to develop policies for supplier and buyer that structure investments in quality and flexibility in a way that no other self-enforcing contract generates higher expected joint surplus. A second goal is to compare the performance of different returns mechanisms in the context of relational contracting (quantity flexibility and buy-back contracts). Industry studies motivate the presented model.
Authors and Affiliations
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Porsche Consulting GmbH, Bietigheim-Bissingen, Germany
Michaela Isabel Höhn
Bibliographic Information
Book Title: Relational Supply Contracts
Book Subtitle: Optimal Concessions in Return Policies for Continuous Quality Improvements
Authors: Michaela Isabel Höhn
Series Title: Lecture Notes in Economics and Mathematical Systems
DOI: https://doi.org/10.1007/978-3-642-02791-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Softcover ISBN: 978-3-642-02790-1Published: 15 October 2009
eBook ISBN: 978-3-642-02791-8Published: 03 October 2009
Series ISSN: 0075-8442
Series E-ISSN: 2196-9957
Edition Number: 1
Number of Pages: XVI, 124
Number of Illustrations: 27 b/w illustrations
Topics: Procurement, Operations Research/Decision Theory, Economic Theory/Quantitative Economics/Mathematical Methods, Optimization