Optimal design of sustainably efficient biorefineries supply chains

A more comprehensive use of biomass as raw material to produce food, energy and products would result in an important contribution towards theSustainable Development Goals. The concept of biorefinery allows regions with abundant natural resources to make the most of available biomass for these purpo...

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Detalles Bibliográficos
Autores principales:	Machin Ferrero, Lucas M., Cabrera Jiménez, Richard, Wheeler, Jonathan, Pozo, Carlos, Mele, Fernando D.
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2022
Materias:	Ciencias Informáticas Biomass Multi-criteria decision-making Data Envelopment Analysis
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/151836 https://publicaciones.sadio.org.ar/index.php/JAIIO/article/download/349/290
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

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spelling	I19-R120-10915-1518362023-04-21T04:03:01Z http://sedici.unlp.edu.ar/handle/10915/151836 https://publicaciones.sadio.org.ar/index.php/JAIIO/article/download/349/290 issn:2451-7496 Optimal design of sustainably efficient biorefineries supply chains Machin Ferrero, Lucas M. Cabrera Jiménez, Richard Wheeler, Jonathan Pozo, Carlos Mele, Fernando D. 2022-10 2022 2023-04-20T12:38:46Z en Ciencias Informáticas Biomass Multi-criteria decision-making Data Envelopment Analysis A more comprehensive use of biomass as raw material to produce food, energy and products would result in an important contribution towards theSustainable 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 Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 156-169
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Biomass Multi-criteria decision-making Data Envelopment Analysis
spellingShingle	Ciencias Informáticas Biomass Multi-criteria decision-making Data Envelopment Analysis Machin Ferrero, Lucas M. Cabrera Jiménez, Richard Wheeler, Jonathan Pozo, Carlos Mele, Fernando D. Optimal design of sustainably efficient biorefineries supply chains
topic_facet	Ciencias Informáticas Biomass Multi-criteria decision-making Data Envelopment Analysis
description	A more comprehensive use of biomass as raw material to produce food, energy and products would result in an important contribution towards theSustainable 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.
format	Objeto de conferencia Objeto de conferencia
author	Machin Ferrero, Lucas M. Cabrera Jiménez, Richard Wheeler, Jonathan Pozo, Carlos Mele, Fernando D.
author_facet	Machin Ferrero, Lucas M. Cabrera Jiménez, Richard Wheeler, Jonathan Pozo, Carlos Mele, Fernando D.
author_sort	Machin Ferrero, Lucas M.
title	Optimal design of sustainably efficient biorefineries supply chains
title_short	Optimal design of sustainably efficient biorefineries supply chains
title_full	Optimal design of sustainably efficient biorefineries supply chains
title_fullStr	Optimal design of sustainably efficient biorefineries supply chains
title_full_unstemmed	Optimal design of sustainably efficient biorefineries supply chains
title_sort	optimal design of sustainably efficient biorefineries supply chains
publishDate	2022
url	http://sedici.unlp.edu.ar/handle/10915/151836 https://publicaciones.sadio.org.ar/index.php/JAIIO/article/download/349/290
work_keys_str_mv	AT machinferrerolucasm optimaldesignofsustainablyefficientbiorefineriessupplychains AT cabrerajimenezrichard optimaldesignofsustainablyefficientbiorefineriessupplychains AT wheelerjonathan optimaldesignofsustainablyefficientbiorefineriessupplychains AT pozocarlos optimaldesignofsustainablyefficientbiorefineriessupplychains AT melefernandod optimaldesignofsustainablyefficientbiorefineriessupplychains
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Optimal design of sustainably efficient biorefineries supply chains

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