A novel rolling horizon strategy for the strategic planning of supply chains: Application to the sugar cane industry of Argentina

Autores
Kostin, A. M.; Guillén Gosálbez, G.; Mele, Fernando Daniel; Bagajewicz, M. J.; Jiménez, L.
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this article, we propose a new method to reduce the computational burden of strategic supply chain (SC) planning models that provide decision support for public policy makers. The method is based on a rolling horizon strategy where some of the integer variables in the mixed-integer programming model are treated as continuous. By comparing with rigorous solutions, we show that the strategy works efficiently. We illustrate the capabilities of the approach presented by its application to a SC design problem related to the sugar cane industry in Argentina. The case study involves determining the number and type of production and storage facilities to be built in each region of the country so that the ethanol and sugar demand is fulfilled and the economic performance is maximized.
Fil: Kostin, A. M.. Universitat Rovira I Virgili; España
Fil: Guillén Gosálbez, G.. Universitat Rovira I Virgili; España
Fil: Mele, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Ingeniería en Procesos y Gestión Industrial; Argentina
Fil: Bagajewicz, M. J.. University of Oklahoma; Estados Unidos
Fil: Jiménez, L.. Universitat Rovira I Virgili; España
Materia
Bioethanol
Rolling Horizon
Sugar Cane Industry
Supply Chain Management (Scm)
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:11336/70077
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A novel rolling horizon strategy for the strategic planning of supply chains: Application to the sugar cane industry of ArgentinaKostin, A. M.Guillén Gosálbez, G.Mele, Fernando DanielBagajewicz, M. J.Jiménez, L.BioethanolRolling HorizonSugar Cane IndustrySupply Chain Management (Scm)https://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2In this article, we propose a new method to reduce the computational burden of strategic supply chain (SC) planning models that provide decision support for public policy makers. The method is based on a rolling horizon strategy where some of the integer variables in the mixed-integer programming model are treated as continuous. By comparing with rigorous solutions, we show that the strategy works efficiently. We illustrate the capabilities of the approach presented by its application to a SC design problem related to the sugar cane industry in Argentina. The case study involves determining the number and type of production and storage facilities to be built in each region of the country so that the ethanol and sugar demand is fulfilled and the economic performance is maximized.Fil: Kostin, A. M.. Universitat Rovira I Virgili; EspañaFil: Guillén Gosálbez, G.. Universitat Rovira I Virgili; EspañaFil: Mele, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Ingeniería en Procesos y Gestión Industrial; ArgentinaFil: Bagajewicz, M. J.. University of Oklahoma; Estados UnidosFil: Jiménez, L.. Universitat Rovira I Virgili; EspañaPergamon-Elsevier Science Ltd2011-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/70077Kostin, A. M.; Guillén Gosálbez, G.; Mele, Fernando Daniel; Bagajewicz, M. J.; Jiménez, L.; A novel rolling horizon strategy for the strategic planning of supply chains: Application to the sugar cane industry of Argentina; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 35; 11; 11-2011; 2540-25630098-1354CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2011.04.006info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0098135411001402info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:22:03Zoai:ri.conicet.gov.ar:11336/70077instacron: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:34982025-09-29 10:22:03.53CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A novel rolling horizon strategy for the strategic planning of supply chains: Application to the sugar cane industry of Argentina
title A novel rolling horizon strategy for the strategic planning of supply chains: Application to the sugar cane industry of Argentina
spellingShingle A novel rolling horizon strategy for the strategic planning of supply chains: Application to the sugar cane industry of Argentina
Kostin, A. M.
Bioethanol
Rolling Horizon
Sugar Cane Industry
Supply Chain Management (Scm)
title_short A novel rolling horizon strategy for the strategic planning of supply chains: Application to the sugar cane industry of Argentina
title_full A novel rolling horizon strategy for the strategic planning of supply chains: Application to the sugar cane industry of Argentina
title_fullStr A novel rolling horizon strategy for the strategic planning of supply chains: Application to the sugar cane industry of Argentina
title_full_unstemmed A novel rolling horizon strategy for the strategic planning of supply chains: Application to the sugar cane industry of Argentina
title_sort A novel rolling horizon strategy for the strategic planning of supply chains: Application to the sugar cane industry of Argentina
dc.creator.none.fl_str_mv Kostin, A. M.
Guillén Gosálbez, G.
Mele, Fernando Daniel
Bagajewicz, M. J.
Jiménez, L.
author Kostin, A. M.
author_facet Kostin, A. M.
Guillén Gosálbez, G.
Mele, Fernando Daniel
Bagajewicz, M. J.
Jiménez, L.
author_role author
author2 Guillén Gosálbez, G.
Mele, Fernando Daniel
Bagajewicz, M. J.
Jiménez, L.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Bioethanol
Rolling Horizon
Sugar Cane Industry
Supply Chain Management (Scm)
topic Bioethanol
Rolling Horizon
Sugar Cane Industry
Supply Chain Management (Scm)
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In this article, we propose a new method to reduce the computational burden of strategic supply chain (SC) planning models that provide decision support for public policy makers. The method is based on a rolling horizon strategy where some of the integer variables in the mixed-integer programming model are treated as continuous. By comparing with rigorous solutions, we show that the strategy works efficiently. We illustrate the capabilities of the approach presented by its application to a SC design problem related to the sugar cane industry in Argentina. The case study involves determining the number and type of production and storage facilities to be built in each region of the country so that the ethanol and sugar demand is fulfilled and the economic performance is maximized.
Fil: Kostin, A. M.. Universitat Rovira I Virgili; España
Fil: Guillén Gosálbez, G.. Universitat Rovira I Virgili; España
Fil: Mele, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Ingeniería en Procesos y Gestión Industrial; Argentina
Fil: Bagajewicz, M. J.. University of Oklahoma; Estados Unidos
Fil: Jiménez, L.. Universitat Rovira I Virgili; España
description In this article, we propose a new method to reduce the computational burden of strategic supply chain (SC) planning models that provide decision support for public policy makers. The method is based on a rolling horizon strategy where some of the integer variables in the mixed-integer programming model are treated as continuous. By comparing with rigorous solutions, we show that the strategy works efficiently. We illustrate the capabilities of the approach presented by its application to a SC design problem related to the sugar cane industry in Argentina. The case study involves determining the number and type of production and storage facilities to be built in each region of the country so that the ethanol and sugar demand is fulfilled and the economic performance is maximized.
publishDate 2011
dc.date.none.fl_str_mv 2011-11
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/11336/70077
Kostin, A. M.; Guillén Gosálbez, G.; Mele, Fernando Daniel; Bagajewicz, M. J.; Jiménez, L.; A novel rolling horizon strategy for the strategic planning of supply chains: Application to the sugar cane industry of Argentina; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 35; 11; 11-2011; 2540-2563
0098-1354
CONICET Digital
CONICET
url http://hdl.handle.net/11336/70077
identifier_str_mv Kostin, A. M.; Guillén Gosálbez, G.; Mele, Fernando Daniel; Bagajewicz, M. J.; Jiménez, L.; A novel rolling horizon strategy for the strategic planning of supply chains: Application to the sugar cane industry of Argentina; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 35; 11; 11-2011; 2540-2563
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/doi/10.1016/j.compchemeng.2011.04.006
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0098135411001402
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
dc.publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
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
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score 13.069144

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