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Fuzzy logic-based FMEA robust design: a quantitative approach for robustness against groupthink in group/team decision-making

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  • Arash Geramian
  • Ajith Abraham
  • Mojtaba Ahmadi Nozari

Abstract

Group/team decision-making is an integral part of almost all failure mode and effects analysis (FMEA) projects. A dysfunctional aspect of this decision-making fashion in fuzzy FMEA is that group/team members’ designs for membership functions and IF-THEN rules may be overshadowed by a member’s design. This problem is caused by groupthink, a pitfall known by the Organisational Behaviour science. This study aims to develop a fuzzy FMEA approach which is robust to the problem. We applied the Taguchi’s robust parameter design and investigated the effects of various control parameters namely Defuzzification, Aggregation, And and Implication operators for the fuzzy inference system (FIS). Our experiments illustrate that the control parameters, in the above-mentioned order, have the most effect on the signal-to-noise ratio (SNR). These factors’ optimal setting consists of the Centroid, Sum, Minimum and Minimum levels, respectively.

Suggested Citation

  • Arash Geramian & Ajith Abraham & Mojtaba Ahmadi Nozari, 2019. "Fuzzy logic-based FMEA robust design: a quantitative approach for robustness against groupthink in group/team decision-making," International Journal of Production Research, Taylor & Francis Journals, vol. 57(5), pages 1331-1344, March.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:5:p:1331-1344
    DOI: 10.1080/00207543.2018.1471236
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    Cited by:

    1. Tang, Ming & Liao, Huchang, 2021. "Failure mode and effect analysis considering the fairness-oriented consensus of a large group with core-periphery structure," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    2. Jalil Heidary Dahooie & Amir Salar Vanaki & Hamid Reza Firoozfar & Edmundas Kazimieras Zavadskas & Audrius Čereška, 2020. "An Extension of the Failure Mode and Effect Analysis with Hesitant Fuzzy Sets to Assess the Occupational Hazards in the Construction Industry," IJERPH, MDPI, vol. 17(4), pages 1-22, February.
    3. Wang, Qun & Jia, Guozhu & Jia, Yuning & Song, Wenyan, 2021. "A new approach for risk assessment of failure modes considering risk interaction and propagation effects," Reliability Engineering and System Safety, Elsevier, vol. 216(C).

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