TWO-DIMENSIONAL REPRESENTATION FOR TWO-STAGE NETWORK DEA MODELS
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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=S0101-74382022000100216 |
Resumo: | ABSTRACT We propose two-dimensional representations for the efficient frontier for two different Network DEA (NDEA) models. Both representations follow a previous study that developed a generalization of the two-dimensional representation method for the classic DEA using a new form of linearization. The graphical representation of the efficient frontier allows managers and decision-makers unfamiliar with linear programming and DEA to understand the results obtained simply and clearly. In this study, we can obtain graphs that provide information about the efficiencies of each DMU. Furthermore, for the NDEA with an efficiency decomposition approach, it is possible to obtain a graph to evaluate the technical efficiency for each stage, as well as for the overall efficiency. The NDEA model based on efficiency composition only produces one graph. However, this unique representation shows the stage-level and the overall process level information within the same graph. |
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TWO-DIMENSIONAL REPRESENTATION FOR TWO-STAGE NETWORK DEA MODELSdata envelopment analysisnetwork DEAtwo-dimensional representationABSTRACT We propose two-dimensional representations for the efficient frontier for two different Network DEA (NDEA) models. Both representations follow a previous study that developed a generalization of the two-dimensional representation method for the classic DEA using a new form of linearization. The graphical representation of the efficient frontier allows managers and decision-makers unfamiliar with linear programming and DEA to understand the results obtained simply and clearly. In this study, we can obtain graphs that provide information about the efficiencies of each DMU. Furthermore, for the NDEA with an efficiency decomposition approach, it is possible to obtain a graph to evaluate the technical efficiency for each stage, as well as for the overall efficiency. The NDEA model based on efficiency composition only produces one graph. However, this unique representation shows the stage-level and the overall process level information within the same graph.Sociedade Brasileira de Pesquisa Operacional2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382022000100216Pesquisa Operacional v.42 2022reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/0101-7438.2022.042.00258055info:eu-repo/semantics/openAccessTorres,Bruno GuimarãesReis,Juliana de CastroMello,João Carlos C. B. Soares deeng2022-07-13T00:00:00Zoai:scielo:S0101-74382022000100216Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2022-07-13T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false |
dc.title.none.fl_str_mv |
TWO-DIMENSIONAL REPRESENTATION FOR TWO-STAGE NETWORK DEA MODELS |
title |
TWO-DIMENSIONAL REPRESENTATION FOR TWO-STAGE NETWORK DEA MODELS |
spellingShingle |
TWO-DIMENSIONAL REPRESENTATION FOR TWO-STAGE NETWORK DEA MODELS Torres,Bruno Guimarães data envelopment analysis network DEA two-dimensional representation |
title_short |
TWO-DIMENSIONAL REPRESENTATION FOR TWO-STAGE NETWORK DEA MODELS |
title_full |
TWO-DIMENSIONAL REPRESENTATION FOR TWO-STAGE NETWORK DEA MODELS |
title_fullStr |
TWO-DIMENSIONAL REPRESENTATION FOR TWO-STAGE NETWORK DEA MODELS |
title_full_unstemmed |
TWO-DIMENSIONAL REPRESENTATION FOR TWO-STAGE NETWORK DEA MODELS |
title_sort |
TWO-DIMENSIONAL REPRESENTATION FOR TWO-STAGE NETWORK DEA MODELS |
author |
Torres,Bruno Guimarães |
author_facet |
Torres,Bruno Guimarães Reis,Juliana de Castro Mello,João Carlos C. B. Soares de |
author_role |
author |
author2 |
Reis,Juliana de Castro Mello,João Carlos C. B. Soares de |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Torres,Bruno Guimarães Reis,Juliana de Castro Mello,João Carlos C. B. Soares de |
dc.subject.por.fl_str_mv |
data envelopment analysis network DEA two-dimensional representation |
topic |
data envelopment analysis network DEA two-dimensional representation |
description |
ABSTRACT We propose two-dimensional representations for the efficient frontier for two different Network DEA (NDEA) models. Both representations follow a previous study that developed a generalization of the two-dimensional representation method for the classic DEA using a new form of linearization. The graphical representation of the efficient frontier allows managers and decision-makers unfamiliar with linear programming and DEA to understand the results obtained simply and clearly. In this study, we can obtain graphs that provide information about the efficiencies of each DMU. Furthermore, for the NDEA with an efficiency decomposition approach, it is possible to obtain a graph to evaluate the technical efficiency for each stage, as well as for the overall efficiency. The NDEA model based on efficiency composition only produces one graph. However, this unique representation shows the stage-level and the overall process level information within the same graph. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
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=S0101-74382022000100216 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382022000100216 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0101-7438.2022.042.00258055 |
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.42 2022 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_ |
1750318018512027648 |