A multiagent simulator for supporting logistic decisions of unloading petroleum ships in habors

Detalhes bibliográficos
Autor(a) principal: Brito,Robison Cris
Data de Publicação: 2010
Outros Autores: Tacla,Cesar Augusto, Arruda,Lúcia Valéria Ramos de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382010000300012
Resumo: This work presents and evaluates the performance of a simulation model based on multiagent system technology in order to support logistic decisions in a harbor from oil supply chain. The main decisions are concerned to pier allocation, oil discharge, storage tanks management and refinery supply by a pipeline. The real elements as ships, piers, pipelines, and refineries are modeled as agents, and they negotiate by auctions to move oil in this system. The simulation results are compared with results obtained with an optimization mathematical model based on mixed integer linear programming (MILP). Both models are able to find optimal solutions or close to the optimal solution depending on the problem size. In problems with several elements, the multiagent model can find solutions in seconds, while the MILP model presents very high computational time to find the optimal solution. In some situations, the MILP model results in out of memory error. Test scenarios demonstrate the usefulness of the multiagent based simulator in supporting decision taken concerning the logistic in harbors.
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spelling A multiagent simulator for supporting logistic decisions of unloading petroleum ships in haborsoil industry supply chaininventory managementmultiagent systemMILPThis work presents and evaluates the performance of a simulation model based on multiagent system technology in order to support logistic decisions in a harbor from oil supply chain. The main decisions are concerned to pier allocation, oil discharge, storage tanks management and refinery supply by a pipeline. The real elements as ships, piers, pipelines, and refineries are modeled as agents, and they negotiate by auctions to move oil in this system. The simulation results are compared with results obtained with an optimization mathematical model based on mixed integer linear programming (MILP). Both models are able to find optimal solutions or close to the optimal solution depending on the problem size. In problems with several elements, the multiagent model can find solutions in seconds, while the MILP model presents very high computational time to find the optimal solution. In some situations, the MILP model results in out of memory error. Test scenarios demonstrate the usefulness of the multiagent based simulator in supporting decision taken concerning the logistic in harbors.Sociedade Brasileira de Pesquisa Operacional2010-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382010000300012Pesquisa Operacional v.30 n.3 2010reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/S0101-74382010000300012info:eu-repo/semantics/openAccessBrito,Robison CrisTacla,Cesar AugustoArruda,Lúcia Valéria Ramos deeng2011-03-04T00:00:00Zoai:scielo:S0101-74382010000300012Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2011-03-04T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv A multiagent simulator for supporting logistic decisions of unloading petroleum ships in habors
title A multiagent simulator for supporting logistic decisions of unloading petroleum ships in habors
spellingShingle A multiagent simulator for supporting logistic decisions of unloading petroleum ships in habors
Brito,Robison Cris
oil industry supply chain
inventory management
multiagent system
MILP
title_short A multiagent simulator for supporting logistic decisions of unloading petroleum ships in habors
title_full A multiagent simulator for supporting logistic decisions of unloading petroleum ships in habors
title_fullStr A multiagent simulator for supporting logistic decisions of unloading petroleum ships in habors
title_full_unstemmed A multiagent simulator for supporting logistic decisions of unloading petroleum ships in habors
title_sort A multiagent simulator for supporting logistic decisions of unloading petroleum ships in habors
author Brito,Robison Cris
author_facet Brito,Robison Cris
Tacla,Cesar Augusto
Arruda,Lúcia Valéria Ramos de
author_role author
author2 Tacla,Cesar Augusto
Arruda,Lúcia Valéria Ramos de
author2_role author
author
dc.contributor.author.fl_str_mv Brito,Robison Cris
Tacla,Cesar Augusto
Arruda,Lúcia Valéria Ramos de
dc.subject.por.fl_str_mv oil industry supply chain
inventory management
multiagent system
MILP
topic oil industry supply chain
inventory management
multiagent system
MILP
description This work presents and evaluates the performance of a simulation model based on multiagent system technology in order to support logistic decisions in a harbor from oil supply chain. The main decisions are concerned to pier allocation, oil discharge, storage tanks management and refinery supply by a pipeline. The real elements as ships, piers, pipelines, and refineries are modeled as agents, and they negotiate by auctions to move oil in this system. The simulation results are compared with results obtained with an optimization mathematical model based on mixed integer linear programming (MILP). Both models are able to find optimal solutions or close to the optimal solution depending on the problem size. In problems with several elements, the multiagent model can find solutions in seconds, while the MILP model presents very high computational time to find the optimal solution. In some situations, the MILP model results in out of memory error. Test scenarios demonstrate the usefulness of the multiagent based simulator in supporting decision taken concerning the logistic in harbors.
publishDate 2010
dc.date.none.fl_str_mv 2010-12-01
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=S0101-74382010000300012
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382010000300012
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-74382010000300012
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.30 n.3 2010
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
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