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dc.contributor.authorZamarripa Pérez, Miguel Ángel
dc.contributor.authorAguirre, Adrián
dc.contributor.authorMéndez, Carlos A.
dc.contributor.authorEspuña Camarasa, Antonio
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Química
dc.date.accessioned2013-11-21T11:32:28Z
dc.date.created2013-08
dc.date.issued2013-08
dc.identifier.citationZamarripa, 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.
dc.identifier.issn0263-8762
dc.identifier.urihttp://hdl.handle.net/2117/20688
dc.description.abstractThis 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 using the ɛ-constraint method in order to approximate the Pareto space of non-dominated solutions while a framework based on game theory is used as a reactive decision making support tool to deal with the uncertainty of the competitive scenario. The use of the proposed system is illustrated through its application to a multi-product, multi-echelon supply chain case study, which is intended to cooperate or to compete with another SC of similar characteristics.
dc.format.extent13 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria química
dc.subject.lcshGame theory
dc.subject.lcshBusiness planning
dc.subject.otherCompetitive scenarios
dc.subject.otherGame theory
dc.subject.otherMulti-objective optimization
dc.subject.otherSupply chain planning
dc.titleMathematical programming and game theory optimization-based tool for supply chain planning in cooperative/competitive environments
dc.typeArticle
dc.subject.lemacOptimització matemàtica
dc.subject.lemacJocs, Teoria de
dc.subject.lemacEmpreses -- Planificació
dc.contributor.groupUniversitat Politècnica de Catalunya. CEPIMA - Center for Process and Environment Engineering
dc.identifier.doi10.1016/j.cherd.2013.06.008
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac12756373
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorZamarripa, M.; Aguirre, A.; Méndez, C. A.; Espuña, A.
local.citation.publicationNameChemical engineering research and design
local.citation.volume91
local.citation.number8
local.citation.startingPage1588
local.citation.endingPage1600


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Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain