Science and Technology Production
Book Chapter
Authorship
M. Zamarripa
;
A. Aguirre
;
C.A. Méndez
;
A. Espuña
Date
2011
Publishing House and Editing Place
elsevier
Book
Computer-Aided Chemical Engineering, 29
(pp. 1000-1004)
elsevier
elsevier
ISBN
978-0-444-53711-9
Summary
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This work addresses the development of a multi-objective MILP (Mixed Integer Linear Programming), devised to optimize the planning of supply chains introducing the use of game theory for decision making in cooperative and/or competitive scenarios. The model developed is tested in a real-world case study, based on the operation of two different supply chains; three different optimization criteria are consider, and both cooperative and non cooperative way of working between supply chain´s i...
This work addresses the development of a multi-objective MILP (Mixed Integer Linear Programming), devised to optimize the planning of supply chains introducing the use of game theory for decision making in cooperative and/or competitive scenarios. The model developed is tested in a real-world case study, based on the operation of two different supply chains; three different optimization criteria are consider, and both cooperative and non cooperative way of working between supply chain´s is considered.
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Key Words
MILP-based modelMulti-objectiveSupply chain planninggame theory