Supplier evaluation and selection: a fuzzy novel multi-criteria group decision-making approach

Detalhes bibliográficos
Autor(a) principal: Kusi-Sarpong, Simonov
Data de Publicação: 2018
Outros Autores: Varela, Leonilde, Putnik, Goran, Modrák, Vladimír, Ávila, Paulo, Machado, José, Brobbey Agyemang, John
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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spelling 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
repository.mail.fl_str_mv
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