Supplier evaluation and selection: a fuzzy novel multi-criteria group decision-making approach
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.22/23143 |
Resumo: | Suppliers’ evaluation and selection is a subject widely explored through many different kinds of approaches and multi-criteria decision methods, and more recently also through group decision making ones. This paper addresses these problems by proposing an easy-going two-phase supplier selection decision model that uses a scientific approach and incorporates performance criteria in screening and selecting the potential suppliers for further optimal supplier selection. The first phase of the model determines the performance of the suppliers on both quantitative and qualitative criteria and the relative importance weights of the criteria. Fuzzy set theory is utilized to deal with the imprecision and vagueness involved with the subjective judgment of both the qualitative data of the decision-matrix and the relative importance weights of the criteria. In the second phase, the suppliers are screened using their efficiencies and an agreed threshold. Then, the optimal supplier for corporation is selected from the limited potential suppliers set. To illustrate the applicability and validate the proposed model, a case study of a beverage producing company located in Ghana, the Sub-Saharan Africa is proposed. The results of the study can provide valuable clues and guidelines to decision-makers and analyst in pre-contract negotiations. The proposed model will assist practicing managers to effectively reduce their supply-base and efficiently select the optimal supplier for corporation. Implications of the study to the theory and practice and future research directions are also outlined. |
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Supplier evaluation and selection: a fuzzy novel multi-criteria group decision-making approachSupply ManagementSupplier ScreeningSupplier Evaluation and SelectionFuzzy LogicGroup Multi-Criteria Decision-MakingSuppliers’ evaluation and selection is a subject widely explored through many different kinds of approaches and multi-criteria decision methods, and more recently also through group decision making ones. This paper addresses these problems by proposing an easy-going two-phase supplier selection decision model that uses a scientific approach and incorporates performance criteria in screening and selecting the potential suppliers for further optimal supplier selection. The first phase of the model determines the performance of the suppliers on both quantitative and qualitative criteria and the relative importance weights of the criteria. Fuzzy set theory is utilized to deal with the imprecision and vagueness involved with the subjective judgment of both the qualitative data of the decision-matrix and the relative importance weights of the criteria. In the second phase, the suppliers are screened using their efficiencies and an agreed threshold. Then, the optimal supplier for corporation is selected from the limited potential suppliers set. To illustrate the applicability and validate the proposed model, a case study of a beverage producing company located in Ghana, the Sub-Saharan Africa is proposed. The results of the study can provide valuable clues and guidelines to decision-makers and analyst in pre-contract negotiations. The proposed model will assist practicing managers to effectively reduce their supply-base and efficiently select the optimal supplier for corporation. Implications of the study to the theory and practice and future research directions are also outlined.2100 Projects Association - Scientific Association for Promotion of Technology and Management for Organizational and Social Transformative ChangeRepositório Científico do Instituto Politécnico do PortoKusi-Sarpong, SimonovVarela, LeonildePutnik, GoranModrák, VladimírÁvila, PauloMachado, JoséBrobbey Agyemang, John2023-06-13T10:58:41Z20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/23143engKusi-Sarpong, S., Varela, L., Putnik, G., Modrák, V., Ávila, P., Machado, J., Agyemang, J. (2018) Supplier evaluation and selection: a fuzzy novel multi-criteria group decision-making approach, Proceedings of 2100 Projects Association Joint Conferences, 2100 Projects Association, Vol. 6, ISSN 2183-30602183-3060info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-06-21T01:46:14Zoai:recipp.ipp.pt:10400.22/23143Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:00:27.301182Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Supplier evaluation and selection: a fuzzy novel multi-criteria group decision-making approach |
title |
Supplier evaluation and selection: a fuzzy novel multi-criteria group decision-making approach |
spellingShingle |
Supplier evaluation and selection: a fuzzy novel multi-criteria group decision-making approach Kusi-Sarpong, Simonov Supply Management Supplier Screening Supplier Evaluation and Selection Fuzzy Logic Group Multi-Criteria Decision-Making |
title_short |
Supplier evaluation and selection: a fuzzy novel multi-criteria group decision-making approach |
title_full |
Supplier evaluation and selection: a fuzzy novel multi-criteria group decision-making approach |
title_fullStr |
Supplier evaluation and selection: a fuzzy novel multi-criteria group decision-making approach |
title_full_unstemmed |
Supplier evaluation and selection: a fuzzy novel multi-criteria group decision-making approach |
title_sort |
Supplier evaluation and selection: a fuzzy novel multi-criteria group decision-making approach |
author |
Kusi-Sarpong, Simonov |
author_facet |
Kusi-Sarpong, Simonov Varela, Leonilde Putnik, Goran Modrák, Vladimír Ávila, Paulo Machado, José Brobbey Agyemang, John |
author_role |
author |
author2 |
Varela, Leonilde Putnik, Goran Modrák, Vladimír Ávila, Paulo Machado, José Brobbey Agyemang, John |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico do Porto |
dc.contributor.author.fl_str_mv |
Kusi-Sarpong, Simonov Varela, Leonilde Putnik, Goran Modrák, Vladimír Ávila, Paulo Machado, José Brobbey Agyemang, John |
dc.subject.por.fl_str_mv |
Supply Management Supplier Screening Supplier Evaluation and Selection Fuzzy Logic Group Multi-Criteria Decision-Making |
topic |
Supply Management Supplier Screening Supplier Evaluation and Selection Fuzzy Logic Group Multi-Criteria Decision-Making |
description |
Suppliers’ evaluation and selection is a subject widely explored through many different kinds of approaches and multi-criteria decision methods, and more recently also through group decision making ones. This paper addresses these problems by proposing an easy-going two-phase supplier selection decision model that uses a scientific approach and incorporates performance criteria in screening and selecting the potential suppliers for further optimal supplier selection. The first phase of the model determines the performance of the suppliers on both quantitative and qualitative criteria and the relative importance weights of the criteria. Fuzzy set theory is utilized to deal with the imprecision and vagueness involved with the subjective judgment of both the qualitative data of the decision-matrix and the relative importance weights of the criteria. In the second phase, the suppliers are screened using their efficiencies and an agreed threshold. Then, the optimal supplier for corporation is selected from the limited potential suppliers set. To illustrate the applicability and validate the proposed model, a case study of a beverage producing company located in Ghana, the Sub-Saharan Africa is proposed. The results of the study can provide valuable clues and guidelines to decision-makers and analyst in pre-contract negotiations. The proposed model will assist practicing managers to effectively reduce their supply-base and efficiently select the optimal supplier for corporation. Implications of the study to the theory and practice and future research directions are also outlined. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2018-01-01T00:00:00Z 2023-06-13T10:58:41Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.22/23143 |
url |
http://hdl.handle.net/10400.22/23143 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Kusi-Sarpong, S., Varela, L., Putnik, G., Modrák, V., Ávila, P., Machado, J., Agyemang, J. (2018) Supplier evaluation and selection: a fuzzy novel multi-criteria group decision-making approach, Proceedings of 2100 Projects Association Joint Conferences, 2100 Projects Association, Vol. 6, ISSN 2183-3060 2183-3060 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
2100 Projects Association - Scientific Association for Promotion of Technology and Management for Organizational and Social Transformative Change |
publisher.none.fl_str_mv |
2100 Projects Association - Scientific Association for Promotion of Technology and Management for Organizational and Social Transformative Change |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799131673293488128 |