Muhittin SaǧnakYigit KazancogluYeşim Deniz Özkan-ÖzenJose Arturo Garza-ReyesGarza-Reyes, Jose ArturoOzen, Yesim Deniz OzkanSagnak, MuhittinKazancoglu, YigitOzkan Ozen, Yesim Deniz2025-10-0620200265671X0265-671X1758-668210.1108/IJQRM-01-2020-00132-s2.0-85083851923https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083851923&doi=10.1108%2FIJQRM-01-2020-0013&partnerID=40&md5=5dd89932acea5336ad499a5087b8927dhttps://gcris.yasar.edu.tr/handle/123456789/9144https://doi.org/10.1108/IJQRM-01-2020-0013Purpose: The aim of the present study is to overcome some of the limitations of the FMEA method by presenting a theoretical base for considering risk evaluation into its assessment methodology and proposing an approach for its implementation. Design/methodology/approach: Fuzzy AHP is used to calculate the weights of the likelihood of occurrence (O) severity (S) and difficulty of detection (D). Additionally the prospect-theory-based TODIM method was integrated with fuzzy logic. Thus fuzzy TODIM was employed to calculate the ranking of potential failure modes according to their risk priority numbers (RPNs). In order to verify the results of the study in-depth interviews were conducted with the participation of industry experts. Findings: The results are very much in line with prospect theory. Therefore practitioners may apply the proposed method to FMEA. The most crucial failure mode for a firm's attention is furnace failure followed by generator failure crane failure tank failure kettle failure dryer failure and operator failure respectively. Originality/value: The originality of this paper consists in integrating prospect theory with the FMEA method in order to overcome the limitations naturally inherent in the calculation of the FMEA's RPNs. © 2021 Elsevier B.V. All rights reserved.Englishinfo:eu-repo/semantics/openAccessFailure Modes And Effects Analysis, Fuzzy Ahp, Fuzzy Todim, Prospect Theory, Risk Priority NumberFuzzy TODIMProspect TheoryRisk Priority NumberFuzzy AHPFailure Modes and Effects AnalysisArticle