Improving Supply Chain Management in a Competitive Environment

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

Chalkidiki

Simposio; 21st European Symposium on Computer-Aided Process Engineering - ESCAPE21; 2011

E.N. Pistikopoulos; M.C. Georgiadis; A.C. Kokossis

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 considered, and both cooperative and non cooperative way of working between supply chain´s is analyzed.