A New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliers

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dc.authoridUlutaş, Alptekin/0000-0002-8130-1301
dc.authoridTopal, Ayse/0000-0003-1882-4545
dc.authoridKiridena, Senevi/0000-0002-6920-5309
dc.authoridShukla, Nagesh/0000-0002-8421-3972
dc.authorwosidUlutaş, Alptekin/HHZ-2996-2022
dc.authorwosidTopal, Ayse/AAH-2633-2020
dc.authorwosidKiridena, Senevi/P-2606-2015
dc.contributor.authorUlutas, Alptekin
dc.contributor.authorKiridena, Senevi
dc.contributor.authorShukla, Nagesh
dc.contributor.authorTopal, Ayse
dc.date.accessioned2024-08-04T20:56:20Z
dc.date.available2024-08-04T20:56:20Z
dc.date.issued2023
dc.departmentİnönü Üniversitesien_US
dc.description.abstractIn light of the rapid rate of change and unforeseen occurrences seen in the realms of technology, market dynamics, and the wider business landscape, there is a growing need for the inclusion of uncertainty and risk factors in the realm of supply chain planning. Supplier evaluation and selection (SES) is a major strategic decision area where the impact of uncertainty and risk can be more proactively dealt with. A review of extant literature reveals that there is a strong need for developing practitioner-oriented and more comprehensive frameworks and models to mitigate both the capability- and performance-related risks, in the context of SES decisions. This paper presents an integrated model to support SES decisions involving quantity discounts and multiple planning periods under stochastic conditions. The proposed model employs the Fuzzy Analytical Hierarchy Process (FAHP), Fuzzy Evaluation Based on Distance from Average Solution EDAS (EDAS-F), and fuzzy stochastic goal programming (FSGP) to effectively address the above requirements. A case study from a garment manufacturing industry is used to demonstrate the efficacy of the proposed model. The findings of the study provide confirmation that the suggested FSIM has the ability to provide substantial advantages in the context of making choices related to quantity discounts in SES. The proposed FSIM model incorporates the use of FAHP and EDAS-F techniques to effectively reduce the number of suppliers to a manageable level, taking into consideration capability-based risks. Additionally, fuzzy stochastic goal programming (FSGP) is employed to mitigate performance-based risks, enabling the selection of suppliers and the allocation of orders among them. The paper contributes to the literature by proposing a comprehensive framework to solve the SES problem, considering certain practical situations faced by organizations.en_US
dc.identifier.doi10.3390/axioms12121070
dc.identifier.issn2075-1680
dc.identifier.issue12en_US
dc.identifier.urihttps://doi.org/10.3390/axioms12121070
dc.identifier.urihttps://hdl.handle.net/11616/102206
dc.identifier.volume12en_US
dc.identifier.wosWOS:001131411000001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofAxiomsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectfuzzy methodsen_US
dc.subjectgoal programmingen_US
dc.subjectstochastic programmingen_US
dc.subjectsupplier evaluation and selectionen_US
dc.subjectuncertainty and risksen_US
dc.titleA New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliersen_US
dc.typeArticleen_US

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