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Failure mode and effects analysis using intuitionistic fuzzy hybrid weighted Euclidean distance operator

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  • Hu-Chen Liu
  • Long Liu
  • Ping Li

Abstract

Failure mode and effects analysis (FMEA) has shown its effectiveness in examining potential failures in products, process, designs or services and has been extensively used for safety and reliability analysis in a wide range of industries. However, its approach to prioritise failure modes through a crisp risk priority number (RPN) has been criticised as having several shortcomings. The aim of this paper is to develop an efficient and comprehensive risk assessment methodology using intuitionistic fuzzy hybrid weighted Euclidean distance (IFHWED) operator to overcome the limitations and improve the effectiveness of the traditional FMEA. The diversified and uncertain assessments given by FMEA team members are treated as linguistic terms expressed in intuitionistic fuzzy numbers (IFNs). Intuitionistic fuzzy weighted averaging (IFWA) operator is used to aggregate the FMEA team members’ individual assessments into a group assessment. IFHWED operator is applied thereafter to the prioritisation and selection of failure modes. Particularly, both subjective and objective weights of risk factors are considered during the risk evaluation process. A numerical example for risk assessment is given to illustrate the proposed method finally.

Suggested Citation

  • Hu-Chen Liu & Long Liu & Ping Li, 2014. "Failure mode and effects analysis using intuitionistic fuzzy hybrid weighted Euclidean distance operator," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(10), pages 2012-2030, October.
    • Handle: RePEc:taf:tsysxx:v:45:y:2014:i:10:p:2012-2030
    DOI: 10.1080/00207721.2012.760669
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    Cited by:

    1. Fang, Hong & Wang, Xu & Song, Wenyan, 2020. "Technology selection for photovoltaic cell from sustainability perspective: An integrated approach," Renewable Energy, Elsevier, vol. 153(C), pages 1029-1041.
    2. María Carmen Carnero, 2020. "Waste Segregation FMEA Model Integrating Intuitionistic Fuzzy Set and the PAPRIKA Method," Mathematics, MDPI, vol. 8(8), pages 1-29, August.
    3. Faghih-Roohi, Shahrzad & Akcay, Alp & Zhang, Yingqian & Shekarian, Ehsan & de Jong, Eelco, 2020. "A group risk assessment approach for the selection of pharmaceutical product shipping lanes," International Journal of Production Economics, Elsevier, vol. 229(C).
    4. Wang, Xu & Fang, Hong & Fang, Siran, 2020. "An integrated approach for exploitation block selection of shale gas—based on cloud model and grey relational analysis," Resources Policy, Elsevier, vol. 68(C).
    5. Huang, Jia & Li, Zhaojun(Steven) & Liu, Hu-Chen, 2017. "New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 302-309.
    6. Suvojit Dhara & Adrijit Goswami, 2023. "Causal Relationship and Ranking Technique (CRRT): A Novel Group Decision-Making Model and Application in Students’ Performance Assessment in Indian High School Context," Group Decision and Negotiation, Springer, vol. 32(4), pages 835-870, August.

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