A model for failure mode and effects analysis based on intuitionistic fuzzy approach |
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| Affiliation: | 1. Assistant Professor of Management Faculty, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran;2. Master Science of Information Technology Management, University of Science and Arts, Yazd, Iran;1. School of Materials, Shanghai Dianji University, Shanghai 201306, PR China;2. School of Management, Shanghai University, Shanghai 200444, PR China;3. School of Economics and Management, Tongji University, Shanghai 200092, PR China;1. Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, Via Amendola 2 – Padiglione Morselli, 42100 Reggio Emilia, Italy;2. Centre of Operations Research and Logistics, Portsmouth Business School, University of Portsmouth, Portland Street – Richmond Building, Portsmouth PO1 3DE, UK;1. Assistant Professor of Management Faculty, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran;2. Master science of Management, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran;1. Maritime Institute@NTU, Nanyang Technological University, Nanyang Avenue, Singapore;2. School of Civil & Environmental Engineering, Nanyang Technological University, Singapore;3. School of Business IT & Logistics, RMIT University, Australia |
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| Abstract: | Failure mode and effects analysis (FMEA) is one of the most powerful methods in the field of risk management and has been widely used for improving process reliability in manufacturing and service sector. High applicability of FMEA has contributed to its applications in many research domains and practical fields pertaining risk assessment and system safety enhancement. However, the method has also been criticized by experts due to several weaknesses and limitations. The current study proposed a novel model for failure mode and effects analysis based on intuitionistic fuzzy approach. This approach offers some advantages over earlier models as it accounts for degrees of uncertainty in relationships among various criteria or options, specifically when relations cannot be expressed in definite numbers. The proposed model provides a tool to evaluate the failure modes, while dealing with vague concepts and insufficient data. The proposed model was tested in a case study examining the failure modes for quality of internet banking services. |
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| Keywords: | FMEA Intuitionistic fuzzy logic Group decision-making |
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