Input allocation with the Ellipsoidal Frontier Model
Autor(a) principal: | |
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Data de Publicação: | 2014 |
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=S0101-74382014000100004 |
Resumo: | This work aims at complementing the development of the EFM (Ellipsoidal Frontier Model) proposed by Milioni et al. (2011a). EFM is a parametric input allocation model of constant sum that uses DEA (Data Envelopment Analysis) concepts and ensures a solution such that all DMUs (Decision Making Units) are strongly CCR (Constant Returns to Scale) efficient. The degrees of freedom obtained with the possibility of assigning different values to the ellipsoidal eccentricities bring flexibility to the model and raises the interest in evaluating the best distribution among the many that can be generated. We propose two analyses named as local and global. In the first one, we aim at finding a solution that assigns the smallest possible input value to a specified DMU. In the second, we look for a solution that assures the lowest data variability. |
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Input allocation with the Ellipsoidal Frontier ModelDate Envelopment AnalysisDEA-Parametric ModelsEllipsoidal Frontier ModelThis work aims at complementing the development of the EFM (Ellipsoidal Frontier Model) proposed by Milioni et al. (2011a). EFM is a parametric input allocation model of constant sum that uses DEA (Data Envelopment Analysis) concepts and ensures a solution such that all DMUs (Decision Making Units) are strongly CCR (Constant Returns to Scale) efficient. The degrees of freedom obtained with the possibility of assigning different values to the ellipsoidal eccentricities bring flexibility to the model and raises the interest in evaluating the best distribution among the many that can be generated. We propose two analyses named as local and global. In the first one, we aim at finding a solution that assigns the smallest possible input value to a specified DMU. In the second, we look for a solution that assures the lowest data variability.Sociedade Brasileira de Pesquisa Operacional2014-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382014000100004Pesquisa Operacional v.34 n.1 2014reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/S0101-74382014005000001info:eu-repo/semantics/openAccessAlves,Luciene BiancaMilioni,Armando ZeferinoSoma,Nei Yoshihiroeng2014-05-08T00:00:00Zoai:scielo:S0101-74382014000100004Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2014-05-08T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false |
dc.title.none.fl_str_mv |
Input allocation with the Ellipsoidal Frontier Model |
title |
Input allocation with the Ellipsoidal Frontier Model |
spellingShingle |
Input allocation with the Ellipsoidal Frontier Model Alves,Luciene Bianca Date Envelopment Analysis DEA-Parametric Models Ellipsoidal Frontier Model |
title_short |
Input allocation with the Ellipsoidal Frontier Model |
title_full |
Input allocation with the Ellipsoidal Frontier Model |
title_fullStr |
Input allocation with the Ellipsoidal Frontier Model |
title_full_unstemmed |
Input allocation with the Ellipsoidal Frontier Model |
title_sort |
Input allocation with the Ellipsoidal Frontier Model |
author |
Alves,Luciene Bianca |
author_facet |
Alves,Luciene Bianca Milioni,Armando Zeferino Soma,Nei Yoshihiro |
author_role |
author |
author2 |
Milioni,Armando Zeferino Soma,Nei Yoshihiro |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Alves,Luciene Bianca Milioni,Armando Zeferino Soma,Nei Yoshihiro |
dc.subject.por.fl_str_mv |
Date Envelopment Analysis DEA-Parametric Models Ellipsoidal Frontier Model |
topic |
Date Envelopment Analysis DEA-Parametric Models Ellipsoidal Frontier Model |
description |
This work aims at complementing the development of the EFM (Ellipsoidal Frontier Model) proposed by Milioni et al. (2011a). EFM is a parametric input allocation model of constant sum that uses DEA (Data Envelopment Analysis) concepts and ensures a solution such that all DMUs (Decision Making Units) are strongly CCR (Constant Returns to Scale) efficient. The degrees of freedom obtained with the possibility of assigning different values to the ellipsoidal eccentricities bring flexibility to the model and raises the interest in evaluating the best distribution among the many that can be generated. We propose two analyses named as local and global. In the first one, we aim at finding a solution that assigns the smallest possible input value to a specified DMU. In the second, we look for a solution that assures the lowest data variability. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-04-01 |
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=S0101-74382014000100004 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382014000100004 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0101-74382014005000001 |
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.34 n.1 2014 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_ |
1750318017771732992 |