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A failure mode and risk assessment method based on cloud model

Author

Listed:
  • Xinlong Li

    (Chongqing University)

  • Yan Ran

    (Chongqing University)

  • Genbao Zhang

    (Chongqing University
    Chongqing University of Arts and Sciences)

  • Yan He

    (Chongqing University)

Abstract

Failure mode and effects analysis (FMEA) is a predictive reliability analysis technique, which is widely used to improve the reliability and safety of products in products design, manufacture and service phases. However, traditional FMEA has many shortcomings in practical application, resulting in poor accuracy of analysis results. In this paper, based on meta-action failure modes, a risk assessment and ranking method based on cloud model is proposed. First, the domain expert’s assessment of failure modes’ attributes is transformed into a cloud model. Then, the best–worst method (BWM) and cloud model are combined to calculate the cloud weight of each attribute, and the weight of each expert to risk factors of each failure mode is evaluated by cloud distance. Finally, the comprehensive cloud expression of each failure mode is synthesized and compared. The proposed evaluation method not only has the advantages of cloud model in dealing with fuzziness and randomness, but also integrates the advantages of BWM, and fully takes into account the differences of experts in assigning weights to different failure modes’ attributes. Finally, the effectiveness of the proposed method is verified by comparing the risk assessment results of the CNC machine tool’s rotation-meta-action failure modes with different risk assessment methods.

Suggested Citation

  • Xinlong Li & Yan Ran & Genbao Zhang & Yan He, 2020. "A failure mode and risk assessment method based on cloud model," Journal of Intelligent Manufacturing, Springer, vol. 31(6), pages 1339-1352, August.
    • Handle: RePEc:spr:joinma:v:31:y:2020:i:6:d:10.1007_s10845-019-01513-9
    DOI: 10.1007/s10845-019-01513-9
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    References listed on IDEAS

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    1. Simon Li & Wei Zeng, 2016. "Risk analysis for the supplier selection problem using failure modes and effects analysis (FMEA)," Journal of Intelligent Manufacturing, Springer, vol. 27(6), pages 1309-1321, December.
    2. Majid Baghery & Samuel Yousefi & Mustafa Jahangoshai Rezaee, 2018. "Risk measurement and prioritization of auto parts manufacturing processes based on process failure analysis, interval data envelopment analysis and grey relational analysis," Journal of Intelligent Manufacturing, Springer, vol. 29(8), pages 1803-1825, December.
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    5. Lei Dong & Peng Wang & Fang Yan, 2019. "Damage forecasting based on multi-factor fuzzy time series and cloud model," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 521-538, February.
    6. Şengül, Ümran & Eren, Miraç & Eslamian Shiraz, Seyedhadi & Gezder, Volkan & Şengül, Ahmet Bilal, 2015. "Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey," Renewable Energy, Elsevier, vol. 75(C), pages 617-625.
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