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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/53586
Ver los metadatos del registro completo
id |
CONICETDig_7d4611675937cdbbec4a69e327fd31f7 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/53586 |
network_acronym_str |
CONICETDig |
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 Técnicas2025-09-03T09:55:15Zoai: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:34982025-09-03 09:55:15.946CONICET 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 |
_version_ |
1842269334215327744 |
score |
13.13397 |