Producción CyT
Artículo
Autoría
Zamarripa, Miguel A.
;
Aguirre, Adrian Marcelo
;
MENDEZ, CARLOS ALBERTO
;
Espuña, Antonio
Fecha
2012
Editorial y Lugar de Edición
Elsevier
Revista
COMPUTERS AND CHEMICAL ENGINEERING,
vol. 42
(pp. 178-188)
Elsevier
Resumen
Información suministrada por el agente en
SIGEVA
This work extends the use of a Mixed Integer Linear Programming (MILP) model, devised to optimize the Supply Chain planning problem, for decision making in cooperative and/or competitive scenarios, by integrating these models with the use of the Game Theory. The system developed is tested in a case study based in previously proposed Supply Chain, adapted to consider the operation of two different Supply Chains (multi-product production plants, storage centers, and distribution to the final cons...
This work extends the use of a Mixed Integer Linear Programming (MILP) model, devised to optimize the Supply Chain planning problem, for decision making in cooperative and/or competitive scenarios, by integrating these models with the use of the Game Theory. The system developed is tested in a case study based in previously proposed Supply Chain, adapted to consider the operation of two different Supply Chains (multi-product production plants, storage centers, and distribution to the final consumers); two different optimization criteria are used to model both the Supply Chains benefits and the customer preferences, so both cooperative and non-cooperative way of working between both Supply Chains can be considered.
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Palabras Clave
Supply Chain planningCompetitive Supply ChainsGame TheoryMILP-based model
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