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

Arash Geramian · Ajith Abraham · Mojtaba Ahmadi Nozari

46 citations0/0 files storedInternational Journal of Production Research

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Multi-Criteria Decision Making Risk and Safety Analysis Fuzzy Logic and Control Systems

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.

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References

1991Quality Engineering Using Robust Design 2013Organizational Behavior 2012Risk evaluation approaches in failure mode and effects analysis: A literature review 2002Fuzzy assessment of FMEA for engine systems 2010Organizational Behavior: Emerging Knowledge and Practice for the Real World 2001A new approach for evaluation of risk priorities of failure modes in FMEA 2016Fuzzy FMEA application to improve decision-making process in an emergency department 2007Development of a fuzzy FMEA based product design system

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