Design and planning of the bioethanol supply chain via simulation-based optimization : The case of Argentina

Autores
Durand, Guillermo; Mele, Fernando D.; Guillén-Gosálbez, Gonzalo; Bandoni, Alberto
Año de publicación
2012
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This paper addresses the strategic planning of bioethanol supply chains (SC) under uncertainty in the demand. The design problem is setting as a reformulation of a multi-scenario mixed-integer linear programming (MILP) problem. It consists in the adoption of a simulation-based optimization scheme to accommodate the variables belonging to different management levels. The strategy supports decisions on the capacity expansions of the production and storage facilities of the network over time along with the associated planning decisions (i.e., production rates, sales, etc.). The capability of the approach is demonstrated through a case study based on the Argentinean sugarcane industry. Results include the investment strategy for the optimal SC configuration.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Supply chain management
Uncertainty
Sugar cane industry
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/124573
Acceder
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network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Design and planning of the bioethanol supply chain via simulation-based optimization : The case of ArgentinaDurand, GuillermoMele, Fernando D.Guillén-Gosálbez, GonzaloBandoni, AlbertoCiencias InformáticasSupply chain managementUncertaintySugar cane industryThis paper addresses the strategic planning of bioethanol supply chains (SC) under uncertainty in the demand. The design problem is setting as a reformulation of a multi-scenario mixed-integer linear programming (MILP) problem. It consists in the adoption of a simulation-based optimization scheme to accommodate the variables belonging to different management levels. The strategy supports decisions on the capacity expansions of the production and storage facilities of the network over time along with the associated planning decisions (i.e., production rates, sales, etc.). The capability of the approach is demonstrated through a case study based on the Argentinean sugarcane industry. Results include the investment strategy for the optimal SC configuration.Sociedad Argentina de Informática e Investigación Operativa2012-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf72-81http://sedici.unlp.edu.ar/handle/10915/124573enginfo:eu-repo/semantics/altIdentifier/url/https://41jaiio.sadio.org.ar/sites/default/files/8_SII_2012.pdfinfo:eu-repo/semantics/altIdentifier/issn/2313-9102info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:29:59Zoai:sedici.unlp.edu.ar:10915/124573Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:29:59.5SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Design and planning of the bioethanol supply chain via simulation-based optimization : The case of Argentina
title Design and planning of the bioethanol supply chain via simulation-based optimization : The case of Argentina
spellingShingle Design and planning of the bioethanol supply chain via simulation-based optimization : The case of Argentina
Durand, Guillermo
Ciencias Informáticas
Supply chain management
Uncertainty
Sugar cane industry
title_short Design and planning of the bioethanol supply chain via simulation-based optimization : The case of Argentina
title_full Design and planning of the bioethanol supply chain via simulation-based optimization : The case of Argentina
title_fullStr Design and planning of the bioethanol supply chain via simulation-based optimization : The case of Argentina
title_full_unstemmed Design and planning of the bioethanol supply chain via simulation-based optimization : The case of Argentina
title_sort Design and planning of the bioethanol supply chain via simulation-based optimization : The case of Argentina
dc.creator.none.fl_str_mv Durand, Guillermo
Mele, Fernando D.
Guillén-Gosálbez, Gonzalo
Bandoni, Alberto
author Durand, Guillermo
author_facet Durand, Guillermo
Mele, Fernando D.
Guillén-Gosálbez, Gonzalo
Bandoni, Alberto
author_role author
author2 Mele, Fernando D.
Guillén-Gosálbez, Gonzalo
Bandoni, Alberto
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Supply chain management
Uncertainty
Sugar cane industry
topic Ciencias Informáticas
Supply chain management
Uncertainty
Sugar cane industry
dc.description.none.fl_txt_mv This paper addresses the strategic planning of bioethanol supply chains (SC) under uncertainty in the demand. The design problem is setting as a reformulation of a multi-scenario mixed-integer linear programming (MILP) problem. It consists in the adoption of a simulation-based optimization scheme to accommodate the variables belonging to different management levels. The strategy supports decisions on the capacity expansions of the production and storage facilities of the network over time along with the associated planning decisions (i.e., production rates, sales, etc.). The capability of the approach is demonstrated through a case study based on the Argentinean sugarcane industry. Results include the investment strategy for the optimal SC configuration.
Sociedad Argentina de Informática e Investigación Operativa
description This paper addresses the strategic planning of bioethanol supply chains (SC) under uncertainty in the demand. The design problem is setting as a reformulation of a multi-scenario mixed-integer linear programming (MILP) problem. It consists in the adoption of a simulation-based optimization scheme to accommodate the variables belonging to different management levels. The strategy supports decisions on the capacity expansions of the production and storage facilities of the network over time along with the associated planning decisions (i.e., production rates, sales, etc.). The capability of the approach is demonstrated through a case study based on the Argentinean sugarcane industry. Results include the investment strategy for the optimal SC configuration.
publishDate 2012
dc.date.none.fl_str_mv 2012-08
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/124573
url http://sedici.unlp.edu.ar/handle/10915/124573
dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/issn/2313-9102
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
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instname_str Universidad Nacional de La Plata
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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