A Hesitant Fuzzy Linguistic TOPSIS Model to Support Supplier Segmentation

Detalhes bibliográficos
Autor(a) principal: Borges,William Viana
Data de Publicação: 2022
Outros Autores: Lima Junior,Francisco Rodrigues, Peinado,Jurandir, Carpinetti,Luiz Cesar Ribeiro
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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spelling 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
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