Large discreet resource allocation: a hybrid approach based on dea efficiency measurement

Detalhes bibliográficos
Autor(a) principal: Gomes,Eliane Gonçalves
Data de Publicação: 2008
Outros Autores: Mello,João Carlos Correia Baptista Soares de, Meza,Lidia Angulo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382008000300011
Resumo: Resource allocation is one of the traditional Operations Research problems. In this paper we propose a hybrid model for resource allocation that uses Data Envelopment Analysis efficiency measures. We use Zero Sum Gains DEA models as the starting point to decrease the computational work for the step-bystep algorithm to allocate integer resources in a DEA context. Our approach is illustrated by a numerical example.
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spelling Large discreet resource allocation: a hybrid approach based on dea efficiency measurementresource allocationDEAzero sum gainsstep-by-step allocation algorithmResource allocation is one of the traditional Operations Research problems. In this paper we propose a hybrid model for resource allocation that uses Data Envelopment Analysis efficiency measures. We use Zero Sum Gains DEA models as the starting point to decrease the computational work for the step-bystep algorithm to allocate integer resources in a DEA context. Our approach is illustrated by a numerical example.Sociedade Brasileira de Pesquisa Operacional2008-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382008000300011Pesquisa Operacional v.28 n.3 2008reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/S0101-74382008000300011info:eu-repo/semantics/openAccessGomes,Eliane GonçalvesMello,João Carlos Correia Baptista Soares deMeza,Lidia Anguloeng2009-01-27T00:00:00Zoai:scielo:S0101-74382008000300011Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2009-01-27T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv Large discreet resource allocation: a hybrid approach based on dea efficiency measurement
title Large discreet resource allocation: a hybrid approach based on dea efficiency measurement
spellingShingle Large discreet resource allocation: a hybrid approach based on dea efficiency measurement
Gomes,Eliane Gonçalves
resource allocation
DEA
zero sum gains
step-by-step allocation algorithm
title_short Large discreet resource allocation: a hybrid approach based on dea efficiency measurement
title_full Large discreet resource allocation: a hybrid approach based on dea efficiency measurement
title_fullStr Large discreet resource allocation: a hybrid approach based on dea efficiency measurement
title_full_unstemmed Large discreet resource allocation: a hybrid approach based on dea efficiency measurement
title_sort Large discreet resource allocation: a hybrid approach based on dea efficiency measurement
author Gomes,Eliane Gonçalves
author_facet Gomes,Eliane Gonçalves
Mello,João Carlos Correia Baptista Soares de
Meza,Lidia Angulo
author_role author
author2 Mello,João Carlos Correia Baptista Soares de
Meza,Lidia Angulo
author2_role author
author
dc.contributor.author.fl_str_mv Gomes,Eliane Gonçalves
Mello,João Carlos Correia Baptista Soares de
Meza,Lidia Angulo
dc.subject.por.fl_str_mv resource allocation
DEA
zero sum gains
step-by-step allocation algorithm
topic resource allocation
DEA
zero sum gains
step-by-step allocation algorithm
description Resource allocation is one of the traditional Operations Research problems. In this paper we propose a hybrid model for resource allocation that uses Data Envelopment Analysis efficiency measures. We use Zero Sum Gains DEA models as the starting point to decrease the computational work for the step-bystep algorithm to allocate integer resources in a DEA context. Our approach is illustrated by a numerical example.
publishDate 2008
dc.date.none.fl_str_mv 2008-12-01
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=S0101-74382008000300011
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382008000300011
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-74382008000300011
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.28 n.3 2008
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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