Failure mode effective analysis (FMEA) is a quality instrument that is being used to recognize potential failure modes and its related consequences on different complex sub-structures in a system. The tool is effectively used for continuous improvement of efficiency, reliability, and quality. However, the traditional FMEA methods using risk priority number (RPN) values have been criticized for having many immanent limitations, affecting its effectiveness in real-world applications. Many risk priority models are emerging in the field of safety and reliability engineering. Among these models, Multi-criteria decision making (MCDM) methods are amongst the most widespread approaches employed to rank failure modes. The main aim of the present work is to implement FMEA analysis using fuzzy MULTIMOORA method. The proposed model has the competence of representing the imprecise knowledge and uncertainties of FMEA team members. FMEA analysis has been performed on offshore wind turbines consisting of four sub-assemblies for nine potential failure modes. The failure modes and its risk factors have been well-defined and appropriate linguistic variables are assigned to the failure modes according to the knowledge of team members. The responses of the team members have been aggregated and operated by the fuzzy model which prioritizes failure modes. The comparison of traditional FMEA rankings with the proposed model displays that a more precise and rational ranking can be attained by the incorporation of MULTIMOORA method using fuzzy set theory to FMEA.

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