Supply chain of sugarcane and its lignocellulosic biomass biorefineries in Argentina: an optimal design approach

Autores
Machin Ferrero, Lucas M.; Mele, Fernando D.
Año de publicación
2021
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The sugarcane, a vast agricultural resource, is a key source for sustainable processes yielding biofuels and bioproducts. Tucumán province in Argentina is the main national sugarcane producer with the potential to fully take profit of this biomass in biorefineries. This study focuses on the use of mathematical programming to make strategic decisions in the Argentinean sugarcane industry. The main goal is to transform the traditional production scheme in a complex of biorefineries, which produce multiple products while making an integral use of biomass. The design task is formulated as a mixed-integer linear model (MILP) that seeks to minimize the total cost of the network. The capabilities of the proposed optimization framework are illustrated through a case study based on three real-scaled scenarios. The solutions provide valuable insight into the design problem and suggest different SC topologies.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Math programming
Optimization
Bioproducts
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/141895
Acceder
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network_name_str SEDICI (UNLP)
spelling Supply chain of sugarcane and its lignocellulosic biomass biorefineries in Argentina: an optimal design approachMachin Ferrero, Lucas M.Mele, Fernando D.Ciencias InformáticasMath programmingOptimizationBioproductsThe sugarcane, a vast agricultural resource, is a key source for sustainable processes yielding biofuels and bioproducts. Tucumán province in Argentina is the main national sugarcane producer with the potential to fully take profit of this biomass in biorefineries. This study focuses on the use of mathematical programming to make strategic decisions in the Argentinean sugarcane industry. The main goal is to transform the traditional production scheme in a complex of biorefineries, which produce multiple products while making an integral use of biomass. The design task is formulated as a mixed-integer linear model (MILP) that seeks to minimize the total cost of the network. The capabilities of the proposed optimization framework are illustrated through a case study based on three real-scaled scenarios. The solutions provide valuable insight into the design problem and suggest different SC topologies.Sociedad Argentina de Informática e Investigación Operativa2021-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf197-209http://sedici.unlp.edu.ar/handle/10915/141895enginfo:eu-repo/semantics/altIdentifier/url/http://50jaiio.sadio.org.ar/pdfs/siiio/SIIIO-32.pdfinfo:eu-repo/semantics/altIdentifier/issn/2618-3277info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/3.0/Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:17:09Zoai:sedici.unlp.edu.ar:10915/141895Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:17:09.672SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Supply chain of sugarcane and its lignocellulosic biomass biorefineries in Argentina: an optimal design approach
title Supply chain of sugarcane and its lignocellulosic biomass biorefineries in Argentina: an optimal design approach
spellingShingle Supply chain of sugarcane and its lignocellulosic biomass biorefineries in Argentina: an optimal design approach
Machin Ferrero, Lucas M.
Ciencias Informáticas
Math programming
Optimization
Bioproducts
title_short Supply chain of sugarcane and its lignocellulosic biomass biorefineries in Argentina: an optimal design approach
title_full Supply chain of sugarcane and its lignocellulosic biomass biorefineries in Argentina: an optimal design approach
title_fullStr Supply chain of sugarcane and its lignocellulosic biomass biorefineries in Argentina: an optimal design approach
title_full_unstemmed Supply chain of sugarcane and its lignocellulosic biomass biorefineries in Argentina: an optimal design approach
title_sort Supply chain of sugarcane and its lignocellulosic biomass biorefineries in Argentina: an optimal design approach
dc.creator.none.fl_str_mv Machin Ferrero, Lucas M.
Mele, Fernando D.
author Machin Ferrero, Lucas M.
author_facet Machin Ferrero, Lucas M.
Mele, Fernando D.
author_role author
author2 Mele, Fernando D.
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Math programming
Optimization
Bioproducts
topic Ciencias Informáticas
Math programming
Optimization
Bioproducts
dc.description.none.fl_txt_mv The sugarcane, a vast agricultural resource, is a key source for sustainable processes yielding biofuels and bioproducts. Tucumán province in Argentina is the main national sugarcane producer with the potential to fully take profit of this biomass in biorefineries. This study focuses on the use of mathematical programming to make strategic decisions in the Argentinean sugarcane industry. The main goal is to transform the traditional production scheme in a complex of biorefineries, which produce multiple products while making an integral use of biomass. The design task is formulated as a mixed-integer linear model (MILP) that seeks to minimize the total cost of the network. The capabilities of the proposed optimization framework are illustrated through a case study based on three real-scaled scenarios. The solutions provide valuable insight into the design problem and suggest different SC topologies.
Sociedad Argentina de Informática e Investigación Operativa
description The sugarcane, a vast agricultural resource, is a key source for sustainable processes yielding biofuels and bioproducts. Tucumán province in Argentina is the main national sugarcane producer with the potential to fully take profit of this biomass in biorefineries. This study focuses on the use of mathematical programming to make strategic decisions in the Argentinean sugarcane industry. The main goal is to transform the traditional production scheme in a complex of biorefineries, which produce multiple products while making an integral use of biomass. The design task is formulated as a mixed-integer linear model (MILP) that seeks to minimize the total cost of the network. The capabilities of the proposed optimization framework are illustrated through a case study based on three real-scaled scenarios. The solutions provide valuable insight into the design problem and suggest different SC topologies.
publishDate 2021
dc.date.none.fl_str_mv 2021-10
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dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/141895
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dc.language.none.fl_str_mv eng
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dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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