Optimal design of sustainably efficient biorefineries supply chain
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 purp...
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Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/156923 |
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I19-R120-10915-1569232023-08-26T04:03:02Z http://sedici.unlp.edu.ar/handle/10915/156923 Optimal design of sustainably efficient biorefineries supply chain Machin Ferrero, Lucas M. Cabrera Jiménez, Richard Wheeler, Jonathan Pozo, Carlos Mele, Fernando D. 2023-05 2023-08-25T17:25:45Z 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 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 Articulo Articulo http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) application/pdf 168-185 |
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Universidad Nacional de La Plata |
institution_str |
I-19 |
repository_str |
R-120 |
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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 chain |
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 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. |
format |
Articulo Articulo |
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 chain |
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 |
publishDate |
2023 |
url |
http://sedici.unlp.edu.ar/handle/10915/156923 |
work_keys_str_mv |
AT machinferrerolucasm optimaldesignofsustainablyefficientbiorefineriessupplychain AT cabrerajimenezrichard optimaldesignofsustainablyefficientbiorefineriessupplychain AT wheelerjonathan optimaldesignofsustainablyefficientbiorefineriessupplychain AT pozocarlos optimaldesignofsustainablyefficientbiorefineriessupplychain AT melefernandod optimaldesignofsustainablyefficientbiorefineriessupplychain |
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1807221115663155200 |