VENDOR AND LOGISTICS PROVIDER SELECTION IN THE CONSTRUCTION SECTOR: A PROBABILISTIC PREFERENCES COMPOSITION APPROACH
Autor(a) principal: | |
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Data de Publicação: | 2015 |
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=S0101-74382015000200363 |
Resumo: | The main purpose of the present work is to present an application of the probabilisticpreferences composition method to the vendor and carrier selection process in the construction sector of the Southern Region of Rio de Janeiro state, in Brazil. The traditional measures associated with vendor and carrier evaluation are considered in the model and are combined through a preferences composition, which considers the options' uncertainties. In the application, we considered three different suppliers of sand for construction and three different logistics providers, two of them outsourced. Our intention was to verify if outsourcing can be considered a better solution, as proposed by many authors. The results show thatoutsourcing is the best option for different probabilistic composition points of view as well as when the overall evaluation is obtained by average composition. |
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VENDOR AND LOGISTICS PROVIDER SELECTION IN THE CONSTRUCTION SECTOR: A PROBABILISTIC PREFERENCES COMPOSITION APPROACHprobabilistic preferences compositionvendor and logistics providers selectionconstruction sectorThe main purpose of the present work is to present an application of the probabilisticpreferences composition method to the vendor and carrier selection process in the construction sector of the Southern Region of Rio de Janeiro state, in Brazil. The traditional measures associated with vendor and carrier evaluation are considered in the model and are combined through a preferences composition, which considers the options' uncertainties. In the application, we considered three different suppliers of sand for construction and three different logistics providers, two of them outsourced. Our intention was to verify if outsourcing can be considered a better solution, as proposed by many authors. The results show thatoutsourcing is the best option for different probabilistic composition points of view as well as when the overall evaluation is obtained by average composition.Sociedade Brasileira de Pesquisa Operacional2015-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382015000200363Pesquisa Operacional v.35 n.2 2015reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/0101-7438.2015.035.02.0363info:eu-repo/semantics/openAccessGarcia,Pauli Adriano de AlmadaSant'Anna,Annibal Parrachoeng2015-07-27T00:00:00Zoai:scielo:S0101-74382015000200363Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2015-07-27T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false |
dc.title.none.fl_str_mv |
VENDOR AND LOGISTICS PROVIDER SELECTION IN THE CONSTRUCTION SECTOR: A PROBABILISTIC PREFERENCES COMPOSITION APPROACH |
title |
VENDOR AND LOGISTICS PROVIDER SELECTION IN THE CONSTRUCTION SECTOR: A PROBABILISTIC PREFERENCES COMPOSITION APPROACH |
spellingShingle |
VENDOR AND LOGISTICS PROVIDER SELECTION IN THE CONSTRUCTION SECTOR: A PROBABILISTIC PREFERENCES COMPOSITION APPROACH Garcia,Pauli Adriano de Almada probabilistic preferences composition vendor and logistics providers selection construction sector |
title_short |
VENDOR AND LOGISTICS PROVIDER SELECTION IN THE CONSTRUCTION SECTOR: A PROBABILISTIC PREFERENCES COMPOSITION APPROACH |
title_full |
VENDOR AND LOGISTICS PROVIDER SELECTION IN THE CONSTRUCTION SECTOR: A PROBABILISTIC PREFERENCES COMPOSITION APPROACH |
title_fullStr |
VENDOR AND LOGISTICS PROVIDER SELECTION IN THE CONSTRUCTION SECTOR: A PROBABILISTIC PREFERENCES COMPOSITION APPROACH |
title_full_unstemmed |
VENDOR AND LOGISTICS PROVIDER SELECTION IN THE CONSTRUCTION SECTOR: A PROBABILISTIC PREFERENCES COMPOSITION APPROACH |
title_sort |
VENDOR AND LOGISTICS PROVIDER SELECTION IN THE CONSTRUCTION SECTOR: A PROBABILISTIC PREFERENCES COMPOSITION APPROACH |
author |
Garcia,Pauli Adriano de Almada |
author_facet |
Garcia,Pauli Adriano de Almada Sant'Anna,Annibal Parracho |
author_role |
author |
author2 |
Sant'Anna,Annibal Parracho |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Garcia,Pauli Adriano de Almada Sant'Anna,Annibal Parracho |
dc.subject.por.fl_str_mv |
probabilistic preferences composition vendor and logistics providers selection construction sector |
topic |
probabilistic preferences composition vendor and logistics providers selection construction sector |
description |
The main purpose of the present work is to present an application of the probabilisticpreferences composition method to the vendor and carrier selection process in the construction sector of the Southern Region of Rio de Janeiro state, in Brazil. The traditional measures associated with vendor and carrier evaluation are considered in the model and are combined through a preferences composition, which considers the options' uncertainties. In the application, we considered three different suppliers of sand for construction and three different logistics providers, two of them outsourced. Our intention was to verify if outsourcing can be considered a better solution, as proposed by many authors. The results show thatoutsourcing is the best option for different probabilistic composition points of view as well as when the overall evaluation is obtained by average composition. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-08-01 |
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=S0101-74382015000200363 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382015000200363 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0101-7438.2015.035.02.0363 |
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.35 n.2 2015 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_ |
1750318017803190272 |