A three-stage stochastic optimization model for the Brazilian biodiesel supply chain
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Production |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132016000300501 |
Resumo: | Abstract The Brazilian program for biodiesel use highlights the production of biodiesel from castor seeds. Biodiesel is a non-polluting energy source that has the potential to promote prosperity by creating jobs in poor regions of Brazil. However, the infrastructure, logistics, and proper facilities are lacking. A variety of approaches to optimizing the biodiesel supply chain have been proposed. The goal is to minimize the grain storage and transportation costs. This paper presents a comparison between a two-stage model and a multistage (three-stage) stochastic model to optimize the biodiesel supply chain. The comparison between these formulations shows that the flexibility gain provided by the multistage model results in a lower total logistic cost. The optimum for the three-stage model was 7,700,019 (BRL), compared to 8,628,002 (BRL) for the two-stage model, representing a savings of 927,983 (BRL). We highlight that this model offers a real solution for castor supply chain design (considering uncertainty) in the Brazilian semiarid region, which is a poorer region of the country, thus making cost reduction mandatory. |
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A three-stage stochastic optimization model for the Brazilian biodiesel supply chainBiodieselMixed Integer Linear programmingStochastic optimizationMultistage programAbstract The Brazilian program for biodiesel use highlights the production of biodiesel from castor seeds. Biodiesel is a non-polluting energy source that has the potential to promote prosperity by creating jobs in poor regions of Brazil. However, the infrastructure, logistics, and proper facilities are lacking. A variety of approaches to optimizing the biodiesel supply chain have been proposed. The goal is to minimize the grain storage and transportation costs. This paper presents a comparison between a two-stage model and a multistage (three-stage) stochastic model to optimize the biodiesel supply chain. The comparison between these formulations shows that the flexibility gain provided by the multistage model results in a lower total logistic cost. The optimum for the three-stage model was 7,700,019 (BRL), compared to 8,628,002 (BRL) for the two-stage model, representing a savings of 927,983 (BRL). We highlight that this model offers a real solution for castor supply chain design (considering uncertainty) in the Brazilian semiarid region, which is a poorer region of the country, thus making cost reduction mandatory.Associação Brasileira de Engenharia de Produção2016-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132016000300501Production v.26 n.3 2016reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/0103-6513.200015info:eu-repo/semantics/openAccessSenna,PedroPinha,DenisAhluwalia,RashpalGuimarães,Julio CesarSevero,ElianaReis,Augustoeng2016-08-09T00:00:00Zoai:scielo:S0103-65132016000300501Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2016-08-09T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
A three-stage stochastic optimization model for the Brazilian biodiesel supply chain |
title |
A three-stage stochastic optimization model for the Brazilian biodiesel supply chain |
spellingShingle |
A three-stage stochastic optimization model for the Brazilian biodiesel supply chain Senna,Pedro Biodiesel Mixed Integer Linear programming Stochastic optimization Multistage program |
title_short |
A three-stage stochastic optimization model for the Brazilian biodiesel supply chain |
title_full |
A three-stage stochastic optimization model for the Brazilian biodiesel supply chain |
title_fullStr |
A three-stage stochastic optimization model for the Brazilian biodiesel supply chain |
title_full_unstemmed |
A three-stage stochastic optimization model for the Brazilian biodiesel supply chain |
title_sort |
A three-stage stochastic optimization model for the Brazilian biodiesel supply chain |
author |
Senna,Pedro |
author_facet |
Senna,Pedro Pinha,Denis Ahluwalia,Rashpal Guimarães,Julio Cesar Severo,Eliana Reis,Augusto |
author_role |
author |
author2 |
Pinha,Denis Ahluwalia,Rashpal Guimarães,Julio Cesar Severo,Eliana Reis,Augusto |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Senna,Pedro Pinha,Denis Ahluwalia,Rashpal Guimarães,Julio Cesar Severo,Eliana Reis,Augusto |
dc.subject.por.fl_str_mv |
Biodiesel Mixed Integer Linear programming Stochastic optimization Multistage program |
topic |
Biodiesel Mixed Integer Linear programming Stochastic optimization Multistage program |
description |
Abstract The Brazilian program for biodiesel use highlights the production of biodiesel from castor seeds. Biodiesel is a non-polluting energy source that has the potential to promote prosperity by creating jobs in poor regions of Brazil. However, the infrastructure, logistics, and proper facilities are lacking. A variety of approaches to optimizing the biodiesel supply chain have been proposed. The goal is to minimize the grain storage and transportation costs. This paper presents a comparison between a two-stage model and a multistage (three-stage) stochastic model to optimize the biodiesel supply chain. The comparison between these formulations shows that the flexibility gain provided by the multistage model results in a lower total logistic cost. The optimum for the three-stage model was 7,700,019 (BRL), compared to 8,628,002 (BRL) for the two-stage model, representing a savings of 927,983 (BRL). We highlight that this model offers a real solution for castor supply chain design (considering uncertainty) in the Brazilian semiarid region, which is a poorer region of the country, thus making cost reduction mandatory. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132016000300501 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132016000300501 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0103-6513.200015 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Engenharia de Produção |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia de Produção |
dc.source.none.fl_str_mv |
Production v.26 n.3 2016 reponame:Production instname:Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO |
instname_str |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
instacron_str |
ABEPRO |
institution |
ABEPRO |
reponame_str |
Production |
collection |
Production |
repository.name.fl_str_mv |
Production - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
||production@editoracubo.com.br |
_version_ |
1754213154079899648 |