A GENERIC TACTICAL PLANNING MODEL TO SUPPLY A BIOREFINERY WITH BIOMASS
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Pesquisa operacional (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382018000100001 |
Resumo: | ABSTRACT The supply chains which bring biomass to biorefineries play a critical role in biofuel production. Optimization models can help decision makers to design more efficient chains and minimize the cost of biomass delivered to the refineries. This article based on a French national research project on biomass logistics considers one refinery, able to process several crops and several parts of the same crop, over a one-year horizon divided into days or weeks. A network model and a data model are first developed to let the decision maker describe the supply chain structure and its data, without affecting the underlying mathematical model. The latter is a mixed integer linear program which combines for the first time various features, either original or tackled separately in the literature. Knowing the refinery demands, it determines the activity levels in the network (amounts harvested, baled, transported, stored, etc.) and the required equipment, in order to minimize a total cost including harvesting costs, transport costs and storage costs. Numerical evaluations based on real data show that the proposed model can optimize large supply chains in reasonable running times. |
id |
SOBRAPO-1_8275c803d5a69973d4690edbac044395 |
---|---|
oai_identifier_str |
oai:scielo:S0101-74382018000100001 |
network_acronym_str |
SOBRAPO-1 |
network_name_str |
Pesquisa operacional (Online) |
repository_id_str |
|
spelling |
A GENERIC TACTICAL PLANNING MODEL TO SUPPLY A BIOREFINERY WITH BIOMASSbiomasssupply chainmodelingoptimizationmixed integer linear programmingABSTRACT The supply chains which bring biomass to biorefineries play a critical role in biofuel production. Optimization models can help decision makers to design more efficient chains and minimize the cost of biomass delivered to the refineries. This article based on a French national research project on biomass logistics considers one refinery, able to process several crops and several parts of the same crop, over a one-year horizon divided into days or weeks. A network model and a data model are first developed to let the decision maker describe the supply chain structure and its data, without affecting the underlying mathematical model. The latter is a mixed integer linear program which combines for the first time various features, either original or tackled separately in the literature. Knowing the refinery demands, it determines the activity levels in the network (amounts harvested, baled, transported, stored, etc.) and the required equipment, in order to minimize a total cost including harvesting costs, transport costs and storage costs. Numerical evaluations based on real data show that the proposed model can optimize large supply chains in reasonable running times.Sociedade Brasileira de Pesquisa Operacional2018-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382018000100001Pesquisa Operacional v.38 n.1 2018reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/0101-7438.2018.038.01.0001info:eu-repo/semantics/openAccessBa,Birome HoloPrins,ChristianProdhon,Carolineeng2018-04-13T00:00:00Zoai:scielo:S0101-74382018000100001Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2018-04-13T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false |
dc.title.none.fl_str_mv |
A GENERIC TACTICAL PLANNING MODEL TO SUPPLY A BIOREFINERY WITH BIOMASS |
title |
A GENERIC TACTICAL PLANNING MODEL TO SUPPLY A BIOREFINERY WITH BIOMASS |
spellingShingle |
A GENERIC TACTICAL PLANNING MODEL TO SUPPLY A BIOREFINERY WITH BIOMASS Ba,Birome Holo biomass supply chain modeling optimization mixed integer linear programming |
title_short |
A GENERIC TACTICAL PLANNING MODEL TO SUPPLY A BIOREFINERY WITH BIOMASS |
title_full |
A GENERIC TACTICAL PLANNING MODEL TO SUPPLY A BIOREFINERY WITH BIOMASS |
title_fullStr |
A GENERIC TACTICAL PLANNING MODEL TO SUPPLY A BIOREFINERY WITH BIOMASS |
title_full_unstemmed |
A GENERIC TACTICAL PLANNING MODEL TO SUPPLY A BIOREFINERY WITH BIOMASS |
title_sort |
A GENERIC TACTICAL PLANNING MODEL TO SUPPLY A BIOREFINERY WITH BIOMASS |
author |
Ba,Birome Holo |
author_facet |
Ba,Birome Holo Prins,Christian Prodhon,Caroline |
author_role |
author |
author2 |
Prins,Christian Prodhon,Caroline |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Ba,Birome Holo Prins,Christian Prodhon,Caroline |
dc.subject.por.fl_str_mv |
biomass supply chain modeling optimization mixed integer linear programming |
topic |
biomass supply chain modeling optimization mixed integer linear programming |
description |
ABSTRACT The supply chains which bring biomass to biorefineries play a critical role in biofuel production. Optimization models can help decision makers to design more efficient chains and minimize the cost of biomass delivered to the refineries. This article based on a French national research project on biomass logistics considers one refinery, able to process several crops and several parts of the same crop, over a one-year horizon divided into days or weeks. A network model and a data model are first developed to let the decision maker describe the supply chain structure and its data, without affecting the underlying mathematical model. The latter is a mixed integer linear program which combines for the first time various features, either original or tackled separately in the literature. Knowing the refinery demands, it determines the activity levels in the network (amounts harvested, baled, transported, stored, etc.) and the required equipment, in order to minimize a total cost including harvesting costs, transport costs and storage costs. Numerical evaluations based on real data show that the proposed model can optimize large supply chains in reasonable running times. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-04-01 |
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=S0101-74382018000100001 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382018000100001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0101-7438.2018.038.01.0001 |
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 |
Sociedade Brasileira de Pesquisa Operacional |
publisher.none.fl_str_mv |
Sociedade Brasileira de Pesquisa Operacional |
dc.source.none.fl_str_mv |
Pesquisa Operacional v.38 n.1 2018 reponame:Pesquisa operacional (Online) instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO) instacron:SOBRAPO |
instname_str |
Sociedade Brasileira de Pesquisa Operacional (SOBRAPO) |
instacron_str |
SOBRAPO |
institution |
SOBRAPO |
reponame_str |
Pesquisa operacional (Online) |
collection |
Pesquisa operacional (Online) |
repository.name.fl_str_mv |
Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO) |
repository.mail.fl_str_mv |
||sobrapo@sobrapo.org.br |
_version_ |
1750318018177531904 |