A fuzzy event tree methodology modified to select and evaluate suppliers

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dc.contributor.authorMizrak Ozfirat P.
dc.date.accessioned2024-07-22T08:07:59Z
dc.date.available2024-07-22T08:07:59Z
dc.date.issued2020
dc.description.abstractThe supplier selection problem becomes more urgent as competition in the market increases. Quality, cost, and the timely delivery of a product mostly depends on the manufacturer’s suppliers and the materials supplied. Therefore manufacturers are very elaborate in selecting their suppliers and work hard to develop supplier selection strategies. In this study, event tree analysis (ETA) is used to solve a manufacturing firm’s supplier selection problem. ETA is a method that is traditionally used for risk analysis problems, combining the probabilities of risk occurrences subject to the necessary precautions. In this study, this structure is used to select and evaluate suppliers. An event tree is developed to analyse each possible supplier, with branching being used according to the supplier selection criteria. The probability of each branch is set as the performance value of the supplier according to the selection criteria. Finally, the supplier is evaluated by combining all performance values on an event tree basis. Fuzzy logic is also incorporated into the event tree methodology to decrease human error and the effect of uncertainty. Fuzzy triangular numbers are used to denote the performance values of suppliers, and fuzzy ranking is used to distinguish the suppliers into classes. The proposed methodology is applied to nine possible suppliers of a specific material. The results reveal that two of the suppliers dominate all the others in the fuzzy ranking. © 2020, South African Institute of Industrial Engineering. All rights reserved.
dc.identifier.DOI-ID10.7166/31-1-2027
dc.identifier.issn1012277X
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/14196
dc.language.isoEnglish
dc.publisherSouth African Institute of Industrial Engineering
dc.rightsAll Open Access; Gold Open Access
dc.subjectFuzzy sets
dc.subjectManufacture
dc.subjectRisk analysis
dc.subjectRisk assessment
dc.subjectAnalysis problems
dc.subjectEvent tree analysis
dc.subjectFuzzy triangular numbers
dc.subjectManufacturing firms
dc.subjectPerformance value
dc.subjectSelection criteria
dc.subjectSpecific materials
dc.subjectSupplier selection
dc.subjectFuzzy logic
dc.titleA fuzzy event tree methodology modified to select and evaluate suppliers
dc.typeArticle

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