Fuzzy assessment of FMEA for rotary switches: A case study

TQM Journal

Volumn 24, Issue 5, 2012, Pages 461-475

  Vinodh, S ^a   Aravindraj, S ^a   Narayanan, Ravi Sathya ^a   Yogeshwaran, N ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Failure analysis; Failure mode and effect analysis; Fuzzy logic; Manufacturing industries; Process analysis; Rotary switches; Rule based knowledge base

Indexed keywords

DECISION MAKERS; DESIGN/METHODOLOGY/APPROACH; FAILURE MODE AND EFFECT ANALYSIS; FUZZY ASSESSMENTS; INDIVIDUAL COMPONENTS; MANUFACTURING INDUSTRIES; PROCESS ANALYSIS; REAL SITUATION; RULE-BASED KNOWLEDGE; SWITCH ASSEMBLY; WORKING GROUPS;

FAILURE ANALYSIS; FUZZY LOGIC; KNOWLEDGE BASED SYSTEMS; MANUFACTURE; RESEARCH;

FAILURE MODES;

EID: 84865504540     PISSN: 17542731     EISSN: None     Source Type: Journal    
DOI: 10.1108/17542731211261601     Document Type: Review

References (17)

1. 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.
2. 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.
3. 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.
4. 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. (Pubitemid 35165556)
5. 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. (Pubitemid 41101276)
6. 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.
7. 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.
8. 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.
9. 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. (Pubitemid 41503921)
10. 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. (Pubitemid 44328310)
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.