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

Author
Zamarripa, M.; Aguirre, A.; Mendez, C.; Espuña, A.
Type of activity
Journal article
Journal
Chemical engineering research and design
Date of publication
2013-08
Volume
91
Number
8
First page
1588
Last page
1600
DOI
https://doi.org/10.1016/j.cherd.2013.06.008 Open in new window
Repository
http://hdl.handle.net/2117/20688 Open in new window
Abstract
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 ...
Citation
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.
Keywords
Competitive scenarios, Game theory, Multi-objective optimization, Supply chain planning
Group of research
CEPIMA - Centre d'Enginyeria de Processos i Medi Ambient

Participants

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