Addressing congestion on single allocation hub-and-spoke networks

Detalhes bibliográficos
Autor(a) principal: Camargo,Ricardo Saraiva de
Data de Publicação: 2012
Outros Autores: Miranda Jr,Gilberto 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=S0101-74382012000300001
Resumo: When considering hub-and-spoke networks with single allocation, the absence of alternative routes makes this kind of systems specially vulnerable to congestion effects. In order to improve the design of such networks, congestion costs must be addressed. This article deploys two different techniques for addressing congestion on single allocation hub-and-spoke networks: the Generalized Benders Decomposition and the Outer Approximation method. Both methods are able to solve large scale instances. Computational experiments show how the adoption of advanced solution strategies, such as Pareto-optimal cut generation on the Master Problem branch-and-bound tree, may be decisive. They also demonstrate that the solution effort is not only associated with the size of the instances, but also with their combination of the installation and congestion costs.
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spelling Addressing congestion on single allocation hub-and-spoke networkssingle allocation hub location problemBenders decomposition methodouter-approximation algorithmlarge scale optimizationWhen considering hub-and-spoke networks with single allocation, the absence of alternative routes makes this kind of systems specially vulnerable to congestion effects. In order to improve the design of such networks, congestion costs must be addressed. This article deploys two different techniques for addressing congestion on single allocation hub-and-spoke networks: the Generalized Benders Decomposition and the Outer Approximation method. Both methods are able to solve large scale instances. Computational experiments show how the adoption of advanced solution strategies, such as Pareto-optimal cut generation on the Master Problem branch-and-bound tree, may be decisive. They also demonstrate that the solution effort is not only associated with the size of the instances, but also with their combination of the installation and congestion costs.Sociedade Brasileira de Pesquisa Operacional2012-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382012000300001Pesquisa Operacional v.32 n.3 2012reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/S0101-74382012005000024info:eu-repo/semantics/openAccessCamargo,Ricardo Saraiva deMiranda Jr,Gilberto deeng2012-12-10T00:00:00Zoai:scielo:S0101-74382012000300001Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2012-12-10T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv Addressing congestion on single allocation hub-and-spoke networks
title Addressing congestion on single allocation hub-and-spoke networks
spellingShingle Addressing congestion on single allocation hub-and-spoke networks
Camargo,Ricardo Saraiva de
single allocation hub location problem
Benders decomposition method
outer-approximation algorithm
large scale optimization
title_short Addressing congestion on single allocation hub-and-spoke networks
title_full Addressing congestion on single allocation hub-and-spoke networks
title_fullStr Addressing congestion on single allocation hub-and-spoke networks
title_full_unstemmed Addressing congestion on single allocation hub-and-spoke networks
title_sort Addressing congestion on single allocation hub-and-spoke networks
author Camargo,Ricardo Saraiva de
author_facet Camargo,Ricardo Saraiva de
Miranda Jr,Gilberto de
author_role author
author2 Miranda Jr,Gilberto de
author2_role author
dc.contributor.author.fl_str_mv Camargo,Ricardo Saraiva de
Miranda Jr,Gilberto de
dc.subject.por.fl_str_mv single allocation hub location problem
Benders decomposition method
outer-approximation algorithm
large scale optimization
topic single allocation hub location problem
Benders decomposition method
outer-approximation algorithm
large scale optimization
description When considering hub-and-spoke networks with single allocation, the absence of alternative routes makes this kind of systems specially vulnerable to congestion effects. In order to improve the design of such networks, congestion costs must be addressed. This article deploys two different techniques for addressing congestion on single allocation hub-and-spoke networks: the Generalized Benders Decomposition and the Outer Approximation method. Both methods are able to solve large scale instances. Computational experiments show how the adoption of advanced solution strategies, such as Pareto-optimal cut generation on the Master Problem branch-and-bound tree, may be decisive. They also demonstrate that the solution effort is not only associated with the size of the instances, but also with their combination of the installation and congestion costs.
publishDate 2012
dc.date.none.fl_str_mv 2012-12-01
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=S0101-74382012000300001
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382012000300001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-74382012005000024
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.32 n.3 2012
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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