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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/124573
Ver los metadatos del registro completo
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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:UNLP2025-09-03T11:02:04Zoai: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:13292025-09-03 11:02:04.701SEDICI (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 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/124573 |
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http://sedici.unlp.edu.ar/handle/10915/124573 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
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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) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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application/pdf 72-81 |
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