Optimal design of sustainably efficient biorefineries supply chain

Autores
Machin Ferrero, Lucas M.; Cabrera Jiménez, Richard; Wheeler, Jonathan; Pozo, Carlos; Mele, Fernando D.
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A more comprehensive use of biomass as raw material to produce food, energy and products would result in an important contribution towards the Sustainable Development Goals. The concept of biorefinery allows regions with abundant natural resources to make the most of available biomass for these purposes, achieving progressive independence from fossil resources. This study presents a framework for the multi-criteria design of biorefinery supply chains (SC) under sustainability considerations. Therefore, an optimization approach of different scenarios is performed followed by a ranking based on the Data Envelopment Analysis (DEA) model to assess the efficiency according to different economic, environmental and social indicators. The capabilities of this approach are demonstrated through a case study of the biomass SC centered in the Northwest of Argentina.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Biomass
Multi-criteria decision-making
Data Envelopment Analysis
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/156923
Acceder
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network_name_str SEDICI (UNLP)
spelling Optimal design of sustainably efficient biorefineries supply chainMachin Ferrero, Lucas M.Cabrera Jiménez, RichardWheeler, JonathanPozo, CarlosMele, Fernando D.Ciencias InformáticasBiomassMulti-criteria decision-makingData Envelopment AnalysisA more comprehensive use of biomass as raw material to produce food, energy and products would result in an important contribution towards the Sustainable Development Goals. The concept of biorefinery allows regions with abundant natural resources to make the most of available biomass for these purposes, achieving progressive independence from fossil resources. This study presents a framework for the multi-criteria design of biorefinery supply chains (SC) under sustainability considerations. Therefore, an optimization approach of different scenarios is performed followed by a ranking based on the Data Envelopment Analysis (DEA) model to assess the efficiency according to different economic, environmental and social indicators. The capabilities of this approach are demonstrated through a case study of the biomass SC centered in the Northwest of Argentina.Sociedad Argentina de Informática e Investigación Operativa2023-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf168-185http://sedici.unlp.edu.ar/handle/10915/156923enginfo:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/462info:eu-repo/semantics/altIdentifier/issn/1514-6774info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/4.0/Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:21:46Zoai:sedici.unlp.edu.ar:10915/156923Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:21:46.638SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Optimal design of sustainably efficient biorefineries supply chain
title Optimal design of sustainably efficient biorefineries supply chain
spellingShingle Optimal design of sustainably efficient biorefineries supply chain
Machin Ferrero, Lucas M.
Ciencias Informáticas
Biomass
Multi-criteria decision-making
Data Envelopment Analysis
title_short Optimal design of sustainably efficient biorefineries supply chain
title_full Optimal design of sustainably efficient biorefineries supply chain
title_fullStr Optimal design of sustainably efficient biorefineries supply chain
title_full_unstemmed Optimal design of sustainably efficient biorefineries supply chain
title_sort Optimal design of sustainably efficient biorefineries supply chain
dc.creator.none.fl_str_mv Machin Ferrero, Lucas M.
Cabrera Jiménez, Richard
Wheeler, Jonathan
Pozo, Carlos
Mele, Fernando D.
author Machin Ferrero, Lucas M.
author_facet Machin Ferrero, Lucas M.
Cabrera Jiménez, Richard
Wheeler, Jonathan
Pozo, Carlos
Mele, Fernando D.
author_role author
author2 Cabrera Jiménez, Richard
Wheeler, Jonathan
Pozo, Carlos
Mele, Fernando D.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Biomass
Multi-criteria decision-making
Data Envelopment Analysis
topic Ciencias Informáticas
Biomass
Multi-criteria decision-making
Data Envelopment Analysis
dc.description.none.fl_txt_mv A more comprehensive use of biomass as raw material to produce food, energy and products would result in an important contribution towards the Sustainable Development Goals. The concept of biorefinery allows regions with abundant natural resources to make the most of available biomass for these purposes, achieving progressive independence from fossil resources. This study presents a framework for the multi-criteria design of biorefinery supply chains (SC) under sustainability considerations. Therefore, an optimization approach of different scenarios is performed followed by a ranking based on the Data Envelopment Analysis (DEA) model to assess the efficiency according to different economic, environmental and social indicators. The capabilities of this approach are demonstrated through a case study of the biomass SC centered in the Northwest of Argentina.
Sociedad Argentina de Informática e Investigación Operativa
description A more comprehensive use of biomass as raw material to produce food, energy and products would result in an important contribution towards the Sustainable Development Goals. The concept of biorefinery allows regions with abundant natural resources to make the most of available biomass for these purposes, achieving progressive independence from fossil resources. This study presents a framework for the multi-criteria design of biorefinery supply chains (SC) under sustainability considerations. Therefore, an optimization approach of different scenarios is performed followed by a ranking based on the Data Envelopment Analysis (DEA) model to assess the efficiency according to different economic, environmental and social indicators. The capabilities of this approach are demonstrated through a case study of the biomass SC centered in the Northwest of Argentina.
publishDate 2023
dc.date.none.fl_str_mv 2023-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/156923
url http://sedici.unlp.edu.ar/handle/10915/156923
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/462
info:eu-repo/semantics/altIdentifier/issn/1514-6774
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/4.0/
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0/
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
dc.format.none.fl_str_mv application/pdf
168-185
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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