A Hesitant Fuzzy Linguistic TOPSIS Model to Support Supplier Segmentation
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | RAC. Revista de Administração Contemporânea (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-65552022000601202 |
Resumo: | ABSTRACT Objective: this study proposes a hesitant fuzzy linguistic TOPSIS model for supplier segmentation based on economic, environmental, and social criteria. Proposal: the model classifies suppliers in a segmentation matrix considering their capabilities and willingness to collaborate. It was implemented using Microsoft Excel© and applied to a hydropower plant. Two employees of the company chose a set of segmentation criteria, assigned weights to these criteria, and evaluated the performance of suppliers. In the pilot application, the performance of six suppliers was analyzed and ranked according to 28 criteria. The classification results were endorsed by the decision-makers involved. Conclusion: the model provides consistent results and can assist managers in designing development programs aimed at improving the economic, environmental, and social performance of suppliers. Additionally, it can support group decisions under uncertainty and hesitation, allows the use of linguistic expressions, and does not limit the amounts of criteria or alternatives. |
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A Hesitant Fuzzy Linguistic TOPSIS Model to Support Supplier Segmentationsupplier segmentationhesitant fuzzy linguistic TOPSISmulticriteria decision-makingABSTRACT Objective: this study proposes a hesitant fuzzy linguistic TOPSIS model for supplier segmentation based on economic, environmental, and social criteria. Proposal: the model classifies suppliers in a segmentation matrix considering their capabilities and willingness to collaborate. It was implemented using Microsoft Excel© and applied to a hydropower plant. Two employees of the company chose a set of segmentation criteria, assigned weights to these criteria, and evaluated the performance of suppliers. In the pilot application, the performance of six suppliers was analyzed and ranked according to 28 criteria. The classification results were endorsed by the decision-makers involved. Conclusion: the model provides consistent results and can assist managers in designing development programs aimed at improving the economic, environmental, and social performance of suppliers. Additionally, it can support group decisions under uncertainty and hesitation, allows the use of linguistic expressions, and does not limit the amounts of criteria or alternatives.Associação Nacional de Pós-Graduação e Pesquisa em Administração2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-65552022000601202Revista de Administração Contemporânea v.26 n.6 2022reponame:RAC. Revista de Administração Contemporânea (Online)instname:Associação Nacional de Pós-Graduação e Pesquisa em Administração (ANPAD)instacron:ANPAD10.1590/1982-7849rac2022210133.eninfo:eu-repo/semantics/openAccessBorges,William VianaLima Junior,Francisco RodriguesPeinado,JurandirCarpinetti,Luiz Cesar Ribeiroeng2022-07-22T00:00:00Zoai:scielo:S1415-65552022000601202Revistahttps://rac.anpad.org.br/index.php/racONGhttps://rac.anpad.org.br/index.php/rac/oairac@anpad.org.br1982-78491415-6555opendoar:2022-07-22T00:00RAC. Revista de Administração Contemporânea (Online) - Associação Nacional de Pós-Graduação e Pesquisa em Administração (ANPAD)false |
dc.title.none.fl_str_mv |
A Hesitant Fuzzy Linguistic TOPSIS Model to Support Supplier Segmentation |
title |
A Hesitant Fuzzy Linguistic TOPSIS Model to Support Supplier Segmentation |
spellingShingle |
A Hesitant Fuzzy Linguistic TOPSIS Model to Support Supplier Segmentation Borges,William Viana supplier segmentation hesitant fuzzy linguistic TOPSIS multicriteria decision-making |
title_short |
A Hesitant Fuzzy Linguistic TOPSIS Model to Support Supplier Segmentation |
title_full |
A Hesitant Fuzzy Linguistic TOPSIS Model to Support Supplier Segmentation |
title_fullStr |
A Hesitant Fuzzy Linguistic TOPSIS Model to Support Supplier Segmentation |
title_full_unstemmed |
A Hesitant Fuzzy Linguistic TOPSIS Model to Support Supplier Segmentation |
title_sort |
A Hesitant Fuzzy Linguistic TOPSIS Model to Support Supplier Segmentation |
author |
Borges,William Viana |
author_facet |
Borges,William Viana Lima Junior,Francisco Rodrigues Peinado,Jurandir Carpinetti,Luiz Cesar Ribeiro |
author_role |
author |
author2 |
Lima Junior,Francisco Rodrigues Peinado,Jurandir Carpinetti,Luiz Cesar Ribeiro |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Borges,William Viana Lima Junior,Francisco Rodrigues Peinado,Jurandir Carpinetti,Luiz Cesar Ribeiro |
dc.subject.por.fl_str_mv |
supplier segmentation hesitant fuzzy linguistic TOPSIS multicriteria decision-making |
topic |
supplier segmentation hesitant fuzzy linguistic TOPSIS multicriteria decision-making |
description |
ABSTRACT Objective: this study proposes a hesitant fuzzy linguistic TOPSIS model for supplier segmentation based on economic, environmental, and social criteria. Proposal: the model classifies suppliers in a segmentation matrix considering their capabilities and willingness to collaborate. It was implemented using Microsoft Excel© and applied to a hydropower plant. Two employees of the company chose a set of segmentation criteria, assigned weights to these criteria, and evaluated the performance of suppliers. In the pilot application, the performance of six suppliers was analyzed and ranked according to 28 criteria. The classification results were endorsed by the decision-makers involved. Conclusion: the model provides consistent results and can assist managers in designing development programs aimed at improving the economic, environmental, and social performance of suppliers. Additionally, it can support group decisions under uncertainty and hesitation, allows the use of linguistic expressions, and does not limit the amounts of criteria or alternatives. |
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=S1415-65552022000601202 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-65552022000601202 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1982-7849rac2022210133.en |
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 |
Associação Nacional de Pós-Graduação e Pesquisa em Administração |
publisher.none.fl_str_mv |
Associação Nacional de Pós-Graduação e Pesquisa em Administração |
dc.source.none.fl_str_mv |
Revista de Administração Contemporânea v.26 n.6 2022 reponame:RAC. Revista de Administração Contemporânea (Online) instname:Associação Nacional de Pós-Graduação e Pesquisa em Administração (ANPAD) instacron:ANPAD |
instname_str |
Associação Nacional de Pós-Graduação e Pesquisa em Administração (ANPAD) |
instacron_str |
ANPAD |
institution |
ANPAD |
reponame_str |
RAC. Revista de Administração Contemporânea (Online) |
collection |
RAC. Revista de Administração Contemporânea (Online) |
repository.name.fl_str_mv |
RAC. Revista de Administração Contemporânea (Online) - Associação Nacional de Pós-Graduação e Pesquisa em Administração (ANPAD) |
repository.mail.fl_str_mv |
rac@anpad.org.br |
_version_ |
1754209054162419712 |