Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator
Autor(a) principal: | |
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Data de Publicação: | 2017 |
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/364 |
Resumo: | The supplier selection problem has been discussed in literature within the supply chain management subject and it is extremely important due to its impact on the entire supply chain configuration, strategy and performance. This work presents a decision model based on the fuzzy analytic hierarchy process method and its application in a real case of maintenance supplier selection in a large Brazilian railway operator. Eight criteria were adopted - technical capacity, financial status, relationship, operations management, security management, infrastructure, historic performance and costs - for evaluating five potential suppliers. In the case study, both first and second ranked suppliers by the method have been selected by the company for providing the services and the model was adopted as a standard procedure within the organization for contracts over US$ 300,000. |
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Brazilian Journal of Operations & Production Management (Online) |
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Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operatorsupplier selectionrailway maintenancemulti-criteria decision makinganalytic hierarchy processfuzzy logicThe supplier selection problem has been discussed in literature within the supply chain management subject and it is extremely important due to its impact on the entire supply chain configuration, strategy and performance. This work presents a decision model based on the fuzzy analytic hierarchy process method and its application in a real case of maintenance supplier selection in a large Brazilian railway operator. Eight criteria were adopted - technical capacity, financial status, relationship, operations management, security management, infrastructure, historic performance and costs - for evaluating five potential suppliers. In the case study, both first and second ranked suppliers by the method have been selected by the company for providing the services and the model was adopted as a standard procedure within the organization for contracts over US$ 300,000.Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2017-09-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articletext/htmlapplication/pdfhttps://bjopm.org.br/bjopm/article/view/36410.14488/BJOPM.2017.v14.n3.a15Brazilian Journal of Operations & Production Management; Vol. 14 No. 3 (2017): September, 2017; 428-4372237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/364/301https://bjopm.org.br/bjopm/article/view/364/318Copyright (c) 2017 Brazilian Journal of Operations & Production Managementinfo:eu-repo/semantics/openAccessSantis, Rodrigo Barbosa deGolliat, LeonardoAguiar, Eduardo Pestana de2021-07-13T14:14:48Zoai:ojs.bjopm.org.br:article/364Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:14.266456Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator |
title |
Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator |
spellingShingle |
Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator Santis, Rodrigo Barbosa de supplier selection railway maintenance multi-criteria decision making analytic hierarchy process fuzzy logic |
title_short |
Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator |
title_full |
Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator |
title_fullStr |
Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator |
title_full_unstemmed |
Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator |
title_sort |
Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator |
author |
Santis, Rodrigo Barbosa de |
author_facet |
Santis, Rodrigo Barbosa de Golliat, Leonardo Aguiar, Eduardo Pestana de |
author_role |
author |
author2 |
Golliat, Leonardo Aguiar, Eduardo Pestana de |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Santis, Rodrigo Barbosa de Golliat, Leonardo Aguiar, Eduardo Pestana de |
dc.subject.por.fl_str_mv |
supplier selection railway maintenance multi-criteria decision making analytic hierarchy process fuzzy logic |
topic |
supplier selection railway maintenance multi-criteria decision making analytic hierarchy process fuzzy logic |
description |
The supplier selection problem has been discussed in literature within the supply chain management subject and it is extremely important due to its impact on the entire supply chain configuration, strategy and performance. This work presents a decision model based on the fuzzy analytic hierarchy process method and its application in a real case of maintenance supplier selection in a large Brazilian railway operator. Eight criteria were adopted - technical capacity, financial status, relationship, operations management, security management, infrastructure, historic performance and costs - for evaluating five potential suppliers. In the case study, both first and second ranked suppliers by the method have been selected by the company for providing the services and the model was adopted as a standard procedure within the organization for contracts over US$ 300,000. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-09-06 |
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/364 10.14488/BJOPM.2017.v14.n3.a15 |
url |
https://bjopm.org.br/bjopm/article/view/364 |
identifier_str_mv |
10.14488/BJOPM.2017.v14.n3.a15 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/364/301 https://bjopm.org.br/bjopm/article/view/364/318 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Brazilian Journal of Operations & Production Management info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Brazilian Journal of Operations & Production Management |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html application/pdf |
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. 14 No. 3 (2017): September, 2017; 428-437 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_ |
1797051460551180288 |