Design and Planning of the Bioethanol Supply Chain Via Simulation-Based Optimization: The Case of Argentina

Autores
Durand, Guillermo Andrés; Mele, Fernando Daniel; Guillén Gosálbez, Gonzalo; Bandoni, Jose Alberto
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
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 multiscenario 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.
Fil: Durand, Guillermo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Mele, Fernando Daniel. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Guillén Gosálbez, Gonzalo. Universitat Rovira i Virgili; España
Fil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Materia
Supply Chain Management
Sugar Cane Industry
Optimization
Uncertainty
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:11336/53586
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Design and Planning of the Bioethanol Supply Chain Via Simulation-Based Optimization: The Case of ArgentinaDurand, Guillermo AndrésMele, Fernando DanielGuillén Gosálbez, GonzaloBandoni, Jose AlbertoSupply Chain ManagementSugar Cane IndustryOptimizationUncertaintyhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This 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 multiscenario 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.Fil: Durand, Guillermo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Mele, Fernando Daniel. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Guillén Gosálbez, Gonzalo. Universitat Rovira i Virgili; EspañaFil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaUniversidade Federal de Santa Catarina2012-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/53586Durand, Guillermo Andrés; Mele, Fernando Daniel; Guillén Gosálbez, Gonzalo; Bandoni, Jose Alberto; Design and Planning of the Bioethanol Supply Chain Via Simulation-Based Optimization: The Case of Argentina; Universidade Federal de Santa Catarina; Iberoamerican Journal of Industrial Engineering; 4; 8; 12-2012; 97-1102175-8018CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.13084/2175-8018.v04n08a07info:eu-repo/semantics/altIdentifier/url/http://incubadora.periodicos.ufsc.br/index.php/IJIE/article/view/2088info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:57:33Zoai:ri.conicet.gov.ar:11336/53586instacron: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 09:57:34.252CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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 Andrés
Supply Chain Management
Sugar Cane Industry
Optimization
Uncertainty
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 Andrés
Mele, Fernando Daniel
Guillén Gosálbez, Gonzalo
Bandoni, Jose Alberto
author Durand, Guillermo Andrés
author_facet Durand, Guillermo Andrés
Mele, Fernando Daniel
Guillén Gosálbez, Gonzalo
Bandoni, Jose Alberto
author_role author
author2 Mele, Fernando Daniel
Guillén Gosálbez, Gonzalo
Bandoni, Jose Alberto
author2_role author
author
author
dc.subject.none.fl_str_mv Supply Chain Management
Sugar Cane Industry
Optimization
Uncertainty
topic Supply Chain Management
Sugar Cane Industry
Optimization
Uncertainty
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 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 multiscenario 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.
Fil: Durand, Guillermo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Mele, Fernando Daniel. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Guillén Gosálbez, Gonzalo. Universitat Rovira i Virgili; España
Fil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
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 multiscenario 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 2012-12
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/11336/53586
Durand, Guillermo Andrés; Mele, Fernando Daniel; Guillén Gosálbez, Gonzalo; Bandoni, Jose Alberto; Design and Planning of the Bioethanol Supply Chain Via Simulation-Based Optimization: The Case of Argentina; Universidade Federal de Santa Catarina; Iberoamerican Journal of Industrial Engineering; 4; 8; 12-2012; 97-110
2175-8018
CONICET Digital
CONICET
url http://hdl.handle.net/11336/53586
identifier_str_mv Durand, Guillermo Andrés; Mele, Fernando Daniel; Guillén Gosálbez, Gonzalo; Bandoni, Jose Alberto; Design and Planning of the Bioethanol Supply Chain Via Simulation-Based Optimization: The Case of Argentina; Universidade Federal de Santa Catarina; Iberoamerican Journal of Industrial Engineering; 4; 8; 12-2012; 97-110
2175-8018
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.13084/2175-8018.v04n08a07
info:eu-repo/semantics/altIdentifier/url/http://incubadora.periodicos.ufsc.br/index.php/IJIE/article/view/2088
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 Universidade Federal de Santa Catarina
publisher.none.fl_str_mv Universidade Federal de Santa Catarina
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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