Lecture Notes in Economics and Mathematical Systems
              Volume              6442010
Cooperative Lot Sizing Games in Supply Chains Authors:

• Julia Drechsel
• …show all 1hide
  

ISBN: 978-3-642-13724-2 (Print) 978-3-642-13725-9  (Online)

Series: Lecture Notes in Economics and Mathematical Systems, Vol. 644

Drechsel, Julia

1st Edition., XIV, 167 p. 10 illus.


(gross) price
ISBN 978-3-642-13725-9

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About this book

• Provides a general solution method to compute cost allocations which is applicable to non-concave and non-monotone operations research games, too
•                                         Includes a broad discussion of the core, its numerous known variants, extensions of the known variants, and new variants
•                                         Discussion and solution of complex cooperative lot size optimization problems arising in supply networks
  

The presented work combines two areas of research: cooperative game theory and lot size optimization. One of the most essential problems in cooperations is to allocate cooperative profits or costs among the partners. The core is a well known method from cooperative game theory that describes efficient and stable profit/cost allocations. A general algorithm based on the idea of constraint generation to compute core elements for cooperative optimization problems is provided. Beside its application for the classical core, an extensive discussion of core variants is presented and how they can be handled with the proposed algorithm. The second part of the thesis contains several cooperative lot sizing problems of different complexity that are analyzed regarding theoretical properties like monotonicity or concavity and solved with the proposed row generation algorithm to compute core elements; i.e. determining stable and fair cost allocations.

• Authors & Editors
  

Julia Drechsel worked as research assistant at the universities of Freiberg and Duisburg-Essen, Germany from 2005-2009. Since 2009 she is Senior Process Specialist for Supply Chain Optimization with Bayer Technology Services.