Improving Supply Chain Planning in a Competitive Environment

Autores
Zamarripa, Miguel A.; Aguirre, Adrian Marcelo; Mendez, Carlos Alberto; Espuña, Antonio
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Zamarripa, Miguel A.. Universidad Politecnica de Catalunya; España
Fil: Aguirre, Adrian Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico Para la Industria Química; Argentina
Fil: Espuña, Antonio. Universidad Politecnica de Catalunya; España
Materia
Supply Chain Planning
Milp-Based Model
Game Theory
Competitive Supply Chains
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/18809
Acceder
id CONICETDig_4b091a8c53ebde06bb0771f6c1b4ef8e
oai_identifier_str oai:ri.conicet.gov.ar:11336/18809
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Improving Supply Chain Planning in a Competitive EnvironmentZamarripa, Miguel A.Aguirre, Adrian MarceloMendez, Carlos AlbertoEspuña, AntonioSupply Chain PlanningMilp-Based ModelGame TheoryCompetitive Supply Chainshttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This 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.Fil: Zamarripa, Miguel A.. Universidad Politecnica de Catalunya; EspañaFil: Aguirre, Adrian Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico Para la Industria Química; ArgentinaFil: Espuña, Antonio. Universidad Politecnica de Catalunya; EspañaElsevier2012-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/18809Zamarripa, Miguel A.; Aguirre, Adrian Marcelo; Mendez, Carlos Alberto; Espuña, Antonio; Improving Supply Chain Planning in a Competitive Environment; Elsevier; Computers And Chemical Engineering; 42; 3-2012; 178-1880098-1354CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0098135412000877info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2012.03.009info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:04:07Zoai:ri.conicet.gov.ar:11336/18809instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:04:07.56CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Improving Supply Chain Planning in a Competitive Environment
title Improving Supply Chain Planning in a Competitive Environment
spellingShingle Improving Supply Chain Planning in a Competitive Environment
Zamarripa, Miguel A.
Supply Chain Planning
Milp-Based Model
Game Theory
Competitive Supply Chains
title_short Improving Supply Chain Planning in a Competitive Environment
title_full Improving Supply Chain Planning in a Competitive Environment
title_fullStr Improving Supply Chain Planning in a Competitive Environment
title_full_unstemmed Improving Supply Chain Planning in a Competitive Environment
title_sort Improving Supply Chain Planning in a Competitive Environment
dc.creator.none.fl_str_mv Zamarripa, Miguel A.
Aguirre, Adrian Marcelo
Mendez, Carlos Alberto
Espuña, Antonio
author Zamarripa, Miguel A.
author_facet Zamarripa, Miguel A.
Aguirre, Adrian Marcelo
Mendez, Carlos Alberto
Espuña, Antonio
author_role author
author2 Aguirre, Adrian Marcelo
Mendez, Carlos Alberto
Espuña, Antonio
author2_role author
author
author
dc.subject.none.fl_str_mv Supply Chain Planning
Milp-Based Model
Game Theory
Competitive Supply Chains
topic Supply Chain Planning
Milp-Based Model
Game Theory
Competitive Supply Chains
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv 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.
Fil: Zamarripa, Miguel A.. Universidad Politecnica de Catalunya; España
Fil: Aguirre, Adrian Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico Para la Industria Química; Argentina
Fil: Espuña, Antonio. Universidad Politecnica de Catalunya; España
description 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.
publishDate 2012
dc.date.none.fl_str_mv 2012-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/18809
Zamarripa, Miguel A.; Aguirre, Adrian Marcelo; Mendez, Carlos Alberto; Espuña, Antonio; Improving Supply Chain Planning in a Competitive Environment; Elsevier; Computers And Chemical Engineering; 42; 3-2012; 178-188
0098-1354
CONICET Digital
CONICET
url http://hdl.handle.net/11336/18809
identifier_str_mv Zamarripa, Miguel A.; Aguirre, Adrian Marcelo; Mendez, Carlos Alberto; Espuña, Antonio; Improving Supply Chain Planning in a Competitive Environment; Elsevier; Computers And Chemical Engineering; 42; 3-2012; 178-188
0098-1354
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0098135412000877
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2012.03.009
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842269838837284864
score 13.13397

Publicaciones similares