Fuzzy assessment of FMEA for rotary switches: a case study

TQM Journal - 2012
S.Vinodh1, S.Aravindraj1, RaviSathya Narayanan1, N.Yogeshwaran1
1Department of Production Engineering, National Institute of Technology, Tiruchirappalli, India

Tóm tắt

PurposeThe purpose of this paper is to report a research in which fuzzy assessment of failure mode and effect analysis (FMEA) was examined on the design of rotary switches.Design/methodology/approachIn the case study reported in this paper, fuzzy FMEA of a rotary switch was analysed, starting from its individual components to subsystems. Failure modes were identified and the effect of these modes was studied, then the results before and after taking actions were compared.FindingsThe usage of fuzzy FMEA enabled the reflection of real situation for determining the interdependencies among failure modes and effects of rotary switches with the incorporation of knowledge and expertise of experts.Research limitations/implicationsThe assessment has been attempted on a single rotary switch assembly. In future, this method can be applied in complex systems.Practical implicationsThe paper shows that the method enabled the decision makers to share information from various working groups.Originality/valueThe case study has been conducted in a rotary switches manufacturing organisation and the results before and after improvement have been compared.

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Tài liệu tham khảo

Bowles, J.B. and Pelaez, C.E. (1995), “Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis”, Reliability Engineering & System Safety., Vol. 50 No. 2, pp. 203‐13.

Chen, L.‐H. and Ko, W.‐C. (2009), “Fuzzy linear programming models for new product design using QFD with FMEA”, Applied Mathematical Modelling, Vol. 33 No. 2, pp. 633‐47.

Dong, C. (2007), “Failure mode and effects analysis based on fuzzy utility cost estimation”, International Journal of Quality & Reliability Management, Vol. 24 No. 9, pp. 958‐71.

Franceschini, F. and Galetto, M. (2001), “A new approach for evaluation of risk priorities of failure modes in FMEA”, International Journal of Production Research, Vol. 39 No. 13, pp. 2991‐3002.

Garcia, P.A.A., Schirru, R. and Frutuoso EMelo, P.F. (2005), “A fuzzy data envelopment analysis approach for FMEA”, Computational Intelligence in Nuclear Applications: Lessons Learned and Recent Developments, Vol. 46 Nos 3‐4, pp. 359‐73.

Guimaraes, A.C.F. and Lapa, C.M.F. (2004), “Fuzzy FMEA applied to PWR chemical and volume control system”, Progress in Nuclear Energy, Vol. 44 No. 3, pp. 191‐213.

Liu, H.‐C., Liu, L., Bian, Q.‐H., Lin, Q.‐L., Dong, N. and Xu, P.‐C. (2010), “Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory”, Expert Systems with Applications, Vol. 38 No. 4, pp. 4403‐15.

Pelaez, C.E. and Bowles, J.B. (1996), “Using fuzzy cognitive maps as a system model for failure modes and effects analysis”, Information Sciences, Vol. 88 Nos 1‐4, pp. 177‐99.

Sharma, R.K., Kumar, D. and Kumar, P. (2005), “Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modelling”, International Journal of Quality & ReliabilityManagement, Vol. 22 No. 9, pp. 986‐1004.

Tay, K.M and Lim, C.P. (2006), “Fuzzy FMEA with a guided rules reduction system for prioritization of failures”, International Journal of Quality & Reliability Management, Vol. 23 No. 8, pp. 1047‐66.

Tay, K.M and Lim, C.P. (2008), “On the use of fuzzy inference techniques in assessment models: Part II: industrial applications”, Fuzzy Optimization and Decision Making, Vol. 7 No. 3, pp. 283‐302.

Tay, K.M and Lim, C.P. (2010), “Enhancing the failure mode and effect analysis methodology with fuzzy inference techniques”, Journal of Intelligent and Fuzzy systems, Vol. 21 Nos 1‐2, pp. 135‐46.

Vinodh, S. and Chintha, S.K. (2010a), “Leanness assessment using multi‐grade fuzzy approach”, International Journal of Production Research, Vol. 49 No. 2, pp. 431‐45.

Vinodh, S. and Chintha, S.K. (2010b), “Application of fuzzy QFD for enabling leanness in a manufacturing organisation”, International Journal of Production Research, Vol. 49 No. 6, pp. 1627‐44.

Wang, Y.‐M., Chin, K.‐S., Poon, G.K.K. and Yang, J.‐B. (2009), “Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean”, Expert Systems with Applications, Vol. 36 No. 2, pp. 1195‐207.

Xu, K., Tang, L.C., Xie, M., Ho, S.L. and Zhu, M.L. (2002), “Fuzzy assessment of FMEA for engine systems”, Reliability Engineering & System Safety, Vol. 75 No. 1, pp. 17‐229.

Yang, Z., Bonsall, S and Wang, J. (2008), “Fuzzy rule‐based Bayesian reasoning approach for prioritization of failures in FMEA”, IEEE Trans. on Reliability, Vol. 57 No. 3, pp. 517‐28.

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