Addressing congestion on single allocation hub-and-spoke networks
Autor(a) principal: | |
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Data de Publicação: | 2012 |
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=S0101-74382012000300001 |
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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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 |
_version_ |
1750318017424654336 |