A data envelopment analysis model for rank ordering suppliers in the oil industry

Detalhes bibliográficos
Autor(a) principal: Rocha,Rafael Brandão
Data de Publicação: 2002
Outros Autores: Cavalcanti Netto,Maria Aparecida
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382002000200002
Resumo: The benefits of integration companies-suppliers top the strategic agendas of managers. Developing a system showing which suppliers merit continuing and deepening the partnership is difficult because of the large quantity of variables to be analyzed. The internationalized petroleum industry, requiring a large variety of materials, is no different. In this context, the Brazilian company PETROBRAS S.A. has a system to evaluate its suppliers based on a consensus panel formed by its managers. This paper shows a two phase methodology for classifying and awarding suppliers using the DEA model. Firstly, the suppliers are classified according to their efficiency based on commercial transactions realized. Secondly they are classified according to the opinions of the managers, using a DEA model for calculating votes, with the assurance regions and superefficiency defining the best suppliers. The paper presents a case study in the E&P segment of PETROBRAS and the results obtained with the methodology.
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spelling A data envelopment analysis model for rank ordering suppliers in the oil industrysuppliers performance evaluationranked voting systemlogistics of supplyThe benefits of integration companies-suppliers top the strategic agendas of managers. Developing a system showing which suppliers merit continuing and deepening the partnership is difficult because of the large quantity of variables to be analyzed. The internationalized petroleum industry, requiring a large variety of materials, is no different. In this context, the Brazilian company PETROBRAS S.A. has a system to evaluate its suppliers based on a consensus panel formed by its managers. This paper shows a two phase methodology for classifying and awarding suppliers using the DEA model. Firstly, the suppliers are classified according to their efficiency based on commercial transactions realized. Secondly they are classified according to the opinions of the managers, using a DEA model for calculating votes, with the assurance regions and superefficiency defining the best suppliers. The paper presents a case study in the E&P segment of PETROBRAS and the results obtained with the methodology.Sociedade Brasileira de Pesquisa Operacional2002-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382002000200002Pesquisa Operacional v.22 n.2 2002reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/S0101-74382002000200002info:eu-repo/semantics/openAccessRocha,Rafael BrandãoCavalcanti Netto,Maria Aparecidaeng2003-02-28T00:00:00Zoai:scielo:S0101-74382002000200002Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2003-02-28T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv A data envelopment analysis model for rank ordering suppliers in the oil industry
title A data envelopment analysis model for rank ordering suppliers in the oil industry
spellingShingle A data envelopment analysis model for rank ordering suppliers in the oil industry
Rocha,Rafael Brandão
suppliers performance evaluation
ranked voting system
logistics of supply
title_short A data envelopment analysis model for rank ordering suppliers in the oil industry
title_full A data envelopment analysis model for rank ordering suppliers in the oil industry
title_fullStr A data envelopment analysis model for rank ordering suppliers in the oil industry
title_full_unstemmed A data envelopment analysis model for rank ordering suppliers in the oil industry
title_sort A data envelopment analysis model for rank ordering suppliers in the oil industry
author Rocha,Rafael Brandão
author_facet Rocha,Rafael Brandão
Cavalcanti Netto,Maria Aparecida
author_role author
author2 Cavalcanti Netto,Maria Aparecida
author2_role author
dc.contributor.author.fl_str_mv Rocha,Rafael Brandão
Cavalcanti Netto,Maria Aparecida
dc.subject.por.fl_str_mv suppliers performance evaluation
ranked voting system
logistics of supply
topic suppliers performance evaluation
ranked voting system
logistics of supply
description The benefits of integration companies-suppliers top the strategic agendas of managers. Developing a system showing which suppliers merit continuing and deepening the partnership is difficult because of the large quantity of variables to be analyzed. The internationalized petroleum industry, requiring a large variety of materials, is no different. In this context, the Brazilian company PETROBRAS S.A. has a system to evaluate its suppliers based on a consensus panel formed by its managers. This paper shows a two phase methodology for classifying and awarding suppliers using the DEA model. Firstly, the suppliers are classified according to their efficiency based on commercial transactions realized. Secondly they are classified according to the opinions of the managers, using a DEA model for calculating votes, with the assurance regions and superefficiency defining the best suppliers. The paper presents a case study in the E&P segment of PETROBRAS and the results obtained with the methodology.
publishDate 2002
dc.date.none.fl_str_mv 2002-12-01
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=S0101-74382002000200002
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382002000200002
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-74382002000200002
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.22 n.2 2002
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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