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Integration of Mathematical Programming and Game Theory for Supply Chain Planning Optimization in Multi-objective competitive scenarios

Autor
Zamarripa, M.; Aguirre, A.; Mendez, C.; Espuña, A.
Tipus d'activitat
Article en revista
Revista
Computer aided chemical engineering
Data de publicació
2012-06
Volum
30
Pàgina inicial
402
Pàgina final
406
DOI
https://doi.org/10.1016/B978-0-444-59519-5.50081-2 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/B9780444595195500812 Obrir en finestra nova
Resum
This work develops a multi-objective MILP (Mixed Integer Linear Programming) model, devised to optimize the planning of supply chains using Game Theory optimization for decision making in cooperative and/or competitive scenarios. Three different optimization criteria are considered (total cost, tardiness and expenses of the buyers for the competitive problem). The multi objective problem has been solved using the Pareto frontier solutions, and both cooperative and non cooperative scenarios betwe...
Paraules clau
Game Theory, Multi-objective Optimization, Planning, Supply Chain Management
Grup de recerca
CEPIMA - Center for Process and Environment Engineering

Participants

  • Zamarripa Pérez, Miguel Ángel  (autor)
  • Aguirre, A.M.  (autor)
  • Mendez, Carlos Alberto  (autor)
  • Espuña Camarasa, Antonio  (autor)