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

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dc.authoridShukla, Nagesh/0000-0002-8421-3972
dc.authoridKiridena, Senevi/0000-0002-6920-5309
dc.authoridUlutas, Alptekin/0000-0002-8130-1301
dc.contributor.authorUlutas, Alptekin
dc.contributor.authorKiridena, Senevi
dc.contributor.authorShukla, Nagesh
dc.contributor.authorTopal, Ayse
dc.date.accessioned2024-11-07T13:34:16Z
dc.date.available2024-11-07T13:34:16Z
dc.date.issued2023
dc.departmentNiğde Ömer Halisdemir Üniversitesi
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.
dc.identifier.doi10.3390/axioms12121070
dc.identifier.issn2075-1680
dc.identifier.issue12
dc.identifier.urihttps://doi.org/10.3390/axioms12121070
dc.identifier.urihttps://hdl.handle.net/11480/15888
dc.identifier.volume12
dc.identifier.wosWOS:001131411000001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofAxioms
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241106
dc.subjectfuzzy methods
dc.subjectgoal programming
dc.subjectstochastic programming
dc.subjectsupplier evaluation and selection
dc.subjectuncertainty and risks
dc.titleA New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliers
dc.typeArticle

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