Using AHP and ANP to evaluate the relation between reverse logistics and corporate performance in Brazilian industry
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Operations & Production Management (Online) |
Texto Completo: | https://bjopm.org.br/bjopm/article/view/V7N2A3_ |
Resumo: | Reverse Logistics (RL) activities are practiced by most Brazilian industries. However, a relevant problem is to identify how different RL programs can affect corporate performance indicators. Analytic Hierarchy Process (AHP) is one of the analytical tools which can be used to handle a multi-criteria decision-making problem and the Analytic Network Process (ANP) is a similar technique, but it can capture the interdependencies between the criteria under consideration. Both approaches were adopted here to study the influence of RL practices in corporate performance. Preliminary results indicated that both methods can be used, being AHP the most efficient, because it requires a smaller number of judgments, and ANP the most reliable, because it considers element dependencies, which is more compatible to the reality of the Brazilian industries. |
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Brazilian Journal of Operations & Production Management (Online) |
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|
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Using AHP and ANP to evaluate the relation between reverse logistics and corporate performance in Brazilian industry Reverse Logistics (RL) activities are practiced by most Brazilian industries. However, a relevant problem is to identify how different RL programs can affect corporate performance indicators. Analytic Hierarchy Process (AHP) is one of the analytical tools which can be used to handle a multi-criteria decision-making problem and the Analytic Network Process (ANP) is a similar technique, but it can capture the interdependencies between the criteria under consideration. Both approaches were adopted here to study the influence of RL practices in corporate performance. Preliminary results indicated that both methods can be used, being AHP the most efficient, because it requires a smaller number of judgments, and ANP the most reliable, because it considers element dependencies, which is more compatible to the reality of the Brazilian industries.Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2011-03-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfapplication/mswordhttps://bjopm.org.br/bjopm/article/view/V7N2A3_Brazilian Journal of Operations & Production Management; Vol. 7 No. 2 (2010): December, 2010; 47-622237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/V7N2A3_/V7N2A3https://bjopm.org.br/bjopm/article/view/V7N2A3_/373Hernández, Cecilia ToledoMarins, Fernando Augusto SilvaDa Rocha, Phelipe MedeirosDuran, Jorge Alberto Rodriguezinfo:eu-repo/semantics/openAccess2019-04-04T07:29:37Zoai:ojs.bjopm.org.br:article/105Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:04.379931Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
Using AHP and ANP to evaluate the relation between reverse logistics and corporate performance in Brazilian industry |
title |
Using AHP and ANP to evaluate the relation between reverse logistics and corporate performance in Brazilian industry |
spellingShingle |
Using AHP and ANP to evaluate the relation between reverse logistics and corporate performance in Brazilian industry Hernández, Cecilia Toledo |
title_short |
Using AHP and ANP to evaluate the relation between reverse logistics and corporate performance in Brazilian industry |
title_full |
Using AHP and ANP to evaluate the relation between reverse logistics and corporate performance in Brazilian industry |
title_fullStr |
Using AHP and ANP to evaluate the relation between reverse logistics and corporate performance in Brazilian industry |
title_full_unstemmed |
Using AHP and ANP to evaluate the relation between reverse logistics and corporate performance in Brazilian industry |
title_sort |
Using AHP and ANP to evaluate the relation between reverse logistics and corporate performance in Brazilian industry |
author |
Hernández, Cecilia Toledo |
author_facet |
Hernández, Cecilia Toledo Marins, Fernando Augusto Silva Da Rocha, Phelipe Medeiros Duran, Jorge Alberto Rodriguez |
author_role |
author |
author2 |
Marins, Fernando Augusto Silva Da Rocha, Phelipe Medeiros Duran, Jorge Alberto Rodriguez |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Hernández, Cecilia Toledo Marins, Fernando Augusto Silva Da Rocha, Phelipe Medeiros Duran, Jorge Alberto Rodriguez |
description |
Reverse Logistics (RL) activities are practiced by most Brazilian industries. However, a relevant problem is to identify how different RL programs can affect corporate performance indicators. Analytic Hierarchy Process (AHP) is one of the analytical tools which can be used to handle a multi-criteria decision-making problem and the Analytic Network Process (ANP) is a similar technique, but it can capture the interdependencies between the criteria under consideration. Both approaches were adopted here to study the influence of RL practices in corporate performance. Preliminary results indicated that both methods can be used, being AHP the most efficient, because it requires a smaller number of judgments, and ANP the most reliable, because it considers element dependencies, which is more compatible to the reality of the Brazilian industries. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-03-05 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/V7N2A3_ |
url |
https://bjopm.org.br/bjopm/article/view/V7N2A3_ |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/V7N2A3_/V7N2A3 https://bjopm.org.br/bjopm/article/view/V7N2A3_/373 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/msword |
dc.publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
dc.source.none.fl_str_mv |
Brazilian Journal of Operations & Production Management; Vol. 7 No. 2 (2010): December, 2010; 47-62 2237-8960 reponame:Brazilian Journal of Operations & Production Management (Online) instname:Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO |
instname_str |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
instacron_str |
ABEPRO |
institution |
ABEPRO |
reponame_str |
Brazilian Journal of Operations & Production Management (Online) |
collection |
Brazilian Journal of Operations & Production Management (Online) |
repository.name.fl_str_mv |
Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
bjopm.journal@gmail.com |
_version_ |
1797051460000677888 |