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An improved reliability model for FMEA using probabilistic linguistic term sets and TODIM method

  • S.I.: Statistical Reliability Modeling and Optimization
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Abstract

Failure mode and effects analysis (FMEA) is known to be a proactive reliability analysis model broadly utilized to recognize and evaluate potential failure modes in various industries. The normal risk priority number (RPN) method, however, has suffers from a lot of criticisms, such as requirement of precise risk estimation, lack of scientific basis in computing RPN, and neglecting the weights of risk factors. Therefore, this paper devises a new FMEA model to evaluate and prioritize the risk of failure modes by integrating probabilistic linguistic term sets and TODIM (an acronym in Portuguese for interactive multi-criteria decision making) method. The probabilistic linguistic term sets are utilized to handle the intrinsic ambiguity existed in the risk assessments of FMEA team members, whilst an extended TODIM method is employed for determining the priority ranking of the individuated failure modes. Further, based on the technique for order of preference by similarity to ideal solution (TOPSIS), an objective weighting method is presented to derive the relative weights of risk factors. Finally, two illustrative examples are implemented and comparisons with other existing methods are performed to demonstrate the rationality and superiority of our proposed FMEA model.

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Acknowledgements

The authors are very grateful to the respected editor and the anonymous referees for their insightful and constructive comments, which helped to improve the overall quality of the paper. This work was partially supported by the National Natural Science Foundation of China (Nos. 61773250, 71701153 and 71671125) and the Program for Shanghai Youth Top-Notch Talent.

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Authors and Affiliations

  1. College of Economics and Management, China Jiliang University, Huangzhou, 310018, People’s Republic of China

    Jia Huang & Ming-Shun Song

  2. School of Management, Shanghai University, Shanghai, 200444, People’s Republic of China

    Jia Huang & Chun-Yan Duan

  3. School of Economics and Management, Tongji University, 1239 Siping Road, Shanghai, 200092, People’s Republic of China

    Hu-Chen Liu

  4. School of Mechanical Engineering, Tongji University, 1239 Siping Road, Shanghai, 200092, People’s Republic of China

    Chun-Yan Duan

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  1. Jia Huang
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Correspondence to Hu-Chen Liu.

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Huang, J., Liu, HC., Duan, CY. et al. An improved reliability model for FMEA using probabilistic linguistic term sets and TODIM method. Ann Oper Res 312, 235–258 (2022). https://doi.org/10.1007/s10479-019-03447-0

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