Improving supply chain management in a competitive environment

ZAMARRIPA, MIGUEL; AGUIRRE, ADRIÁN MARCELO; MÉNDEZ, CARLOS ALBERTO; ESPUÑA, ANTONIO

Computer-Aided Chemical Engineering, 29

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Lugar: Amsterdam - Holanda; Año: 2011; p. 1000 - 1004

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.