Hub location under hub congestion and demand uncertainty: the Brazilian case study

Detalhes bibliográficos
Autor(a) principal: Miranda Junior,Gilberto de
Data de Publicação: 2011
Outros Autores: Camargo,Ricardo Saraiva de, Pinto,Luiz Ricardo, Conceição,Samuel Vieira, Ferreira,Ricardo Poley Martins
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382011000200007
Resumo: In this work, a mixed integer nonlinear programming model combining direct service links, demand uncertainty and congestion effects is proposed. This model is efficiently solved by Generalized Benders Decomposition, for instances of moderate sizes and reasonable number of scenarios. The deployed algorithms are further used for re-designing the Brazilian air transportation network, enabling the analysis of future demand scenarios and providing decision support about the optimal investment policy for Brazil.
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spelling Hub location under hub congestion and demand uncertainty: the Brazilian case studyhub-and-spoke networksBenders Decompositionlarge scale optimizationmixed integernon-linear programmingdemand uncertaintyIn this work, a mixed integer nonlinear programming model combining direct service links, demand uncertainty and congestion effects is proposed. This model is efficiently solved by Generalized Benders Decomposition, for instances of moderate sizes and reasonable number of scenarios. The deployed algorithms are further used for re-designing the Brazilian air transportation network, enabling the analysis of future demand scenarios and providing decision support about the optimal investment policy for Brazil.Sociedade Brasileira de Pesquisa Operacional2011-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382011000200007Pesquisa Operacional v.31 n.2 2011reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/S0101-74382011000200007info:eu-repo/semantics/openAccessMiranda Junior,Gilberto deCamargo,Ricardo Saraiva dePinto,Luiz RicardoConceição,Samuel VieiraFerreira,Ricardo Poley Martinseng2011-08-05T00:00:00Zoai:scielo:S0101-74382011000200007Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2011-08-05T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv Hub location under hub congestion and demand uncertainty: the Brazilian case study
title Hub location under hub congestion and demand uncertainty: the Brazilian case study
spellingShingle Hub location under hub congestion and demand uncertainty: the Brazilian case study
Miranda Junior,Gilberto de
hub-and-spoke networks
Benders Decomposition
large scale optimization
mixed integernon-linear programming
demand uncertainty
title_short Hub location under hub congestion and demand uncertainty: the Brazilian case study
title_full Hub location under hub congestion and demand uncertainty: the Brazilian case study
title_fullStr Hub location under hub congestion and demand uncertainty: the Brazilian case study
title_full_unstemmed Hub location under hub congestion and demand uncertainty: the Brazilian case study
title_sort Hub location under hub congestion and demand uncertainty: the Brazilian case study
author Miranda Junior,Gilberto de
author_facet Miranda Junior,Gilberto de
Camargo,Ricardo Saraiva de
Pinto,Luiz Ricardo
Conceição,Samuel Vieira
Ferreira,Ricardo Poley Martins
author_role author
author2 Camargo,Ricardo Saraiva de
Pinto,Luiz Ricardo
Conceição,Samuel Vieira
Ferreira,Ricardo Poley Martins
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Miranda Junior,Gilberto de
Camargo,Ricardo Saraiva de
Pinto,Luiz Ricardo
Conceição,Samuel Vieira
Ferreira,Ricardo Poley Martins
dc.subject.por.fl_str_mv hub-and-spoke networks
Benders Decomposition
large scale optimization
mixed integernon-linear programming
demand uncertainty
topic hub-and-spoke networks
Benders Decomposition
large scale optimization
mixed integernon-linear programming
demand uncertainty
description In this work, a mixed integer nonlinear programming model combining direct service links, demand uncertainty and congestion effects is proposed. This model is efficiently solved by Generalized Benders Decomposition, for instances of moderate sizes and reasonable number of scenarios. The deployed algorithms are further used for re-designing the Brazilian air transportation network, enabling the analysis of future demand scenarios and providing decision support about the optimal investment policy for Brazil.
publishDate 2011
dc.date.none.fl_str_mv 2011-08-01
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=S0101-74382011000200007
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382011000200007
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-74382011000200007
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.31 n.2 2011
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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