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Mathematical programming and game theory optimization-based tool for supply chain planning in cooperative/competitive environments

Autor
Zamarripa, M.; Aguirre, A.; Mendez, C.; Espuña, A.
Tipus d'activitat
Article en revista
Revista
Chemical engineering research and design
Data de publicació
2013-08
Volum
91
Número
8
Pàgina inicial
1588
Pàgina final
1600
DOI
https://doi.org/10.1016/j.cherd.2013.06.008 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/20688 Obrir en finestra nova
Resum
This work proposes to improve the tactical decision-making of a supply chain (SC) under an uncertain competition scenario through the use of different optimization criteria, which allows to manage not only the specific objectives of the SC of interest, but also the way how its clients address their selection between different potential suppliers, identifying best market share for the SC of interest and the strategy to attain it. The resulting multi-objective optimization problem has been solved ...
Citació
Zamarripa, M. [et al.]. Mathematical programming and game theory optimization-based tool for supply chain planning in cooperative/competitive environments. "Chemical engineering research and design", Agost 2013, vol. 91, núm. 8, p. 1588-1600.
Paraules clau
Competitive Scenarios, Game Theory, Multi-objective Optimization, Supply Chain Planning
Grup de recerca
CEPEIMA - Centre d'Enginyeria de Processos i Medi Ambient

Participants

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