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

2018Journal article Open access
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dc.contributor.authorKusi-Sarpong, Simonov
dc.contributor.authorVarela, Leonilde
dc.contributor.authorPutnik, Goran
dc.contributor.authorModrák, Vladimír
dc.contributor.authorÁvila, Paulo
dc.contributor.authorMachado, José
dc.contributor.authorBrobbey Agyemang, John
dc.date.accessioned2023-06-13T10:58:41Z
dc.date.available2023-06-13T10:58:41Z
dc.date.issued2018
dc.description.abstractSuppliers’ 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationKusi-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 2183-3060pt_PT
dc.identifier.issn2183-3060
dc.identifier.urihttp://hdl.handle.net/10400.22/23143
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisher2100 Projects Association - Scientific Association for Promotion of Technology and Management for Organizational and Social Transformative Changept_PT
dc.relation.publisherversionhttps://2100projectsassoci.wixsite.com/website/c%C3%B3pia-volume5pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectSupply Managementpt_PT
dc.subjectSupplier Screeningpt_PT
dc.subjectSupplier Evaluation and Selectionpt_PT
dc.subjectFuzzy Logicpt_PT
dc.subjectGroup Multi-Criteria Decision-Makingpt_PT
dc.titleSupplier evaluation and selection: a fuzzy novel multi-criteria group decision-making approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage188pt_PT
oaire.citation.startPage183pt_PT
oaire.citation.titlePROCEEDINGS of 2100 Projects Association Joint Conferencespt_PT
oaire.citation.volume6pt_PT
person.familyNameÁvila
person.givenNamePaulo
person.identifier631747
person.identifier.ciencia-id5F17-10EE-C0CE
person.identifier.orcid0000-0001-8420-0875
person.identifier.scopus-author-id8609138000
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication444efa0f-ca28-4743-8e78-7d31b0abde47
relation.isAuthorOfPublication.latestForDiscovery444efa0f-ca28-4743-8e78-7d31b0abde47

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