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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/70077
Ver los metadatos del registro completo
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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 Técnicas2025-09-03T10:03:58Zoai: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:34982025-09-03 10:03:59.173CONICET 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 |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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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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13.13397 |