An FMEA analysis using grey theory and grey rough sets

Razi, F.; Danaei, A.; Ehsani, A.; Dolati, C.

Abstract: This paper presents a hybrid method for detecting the most important failure items as well as the most effective alternative strategy to cope with possible events. The proposed model of this paper uses grey technique to rank various alternatives and FMEA technique to find important faults. The implementation of the proposed method has been illustrated for an existing example on the literature. The results of this method show that the proposed model has been capable of detecting the most trouble making problems with fuzzy logic and finds the most important solution strategy using FMEA technique.

How to cite this paper

        APA: Razi, F., Danaei, A., Ehsani, A & Dolati, C. (2013). An FMEA analysis using grey theory and grey rough sets. Decision Science Letters, 2(4), 299-304.
    

        Chicago/Turabian: Razi, F., Danaei, A., Ehsani, A & Dolati, C. 2013. "An FMEA analysis using grey theory and grey rough sets." Decision Science Letters 2, no. 4 (2013): 299-304.
    

        AMA: Razi, F., Danaei, A., Ehsani, A & Dolati, C. An FMEA analysis using grey theory and grey rough sets. Decision Science Letters. 2013;2(4):299-304.
    

References

Bai, C., & Sarkis, J. (2011). Evaluating supplier development programs with a grey based rough set methodology. Expert Systems with Applications, 38(11), 13505-13517.

Bevilacqua, M., Braglia, M., & Gabbrielli, R. (2000). Monte Carlo simulation approach for a modified FMECA in a power plant. Quality and Reliability Engineering International, 16(4), 313-324.

Bowles, J. B., & Pel?ez, C. E. (1995). Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis. Reliability Engineering & System Safety, 50(2), 203-213.

Braglia, M. (2000). MAFMA: multi-attribute failure mode analysis. International Journal of Quality & Reliability Management, 17(9), 1017-1033.

Braglia, M., Frosolini, M., & Montanari, R. (2003). Fuzzy TOPSIS approach for failure mode, effects and criticality analysis. Quality and Reliability Engineering International, 19(5), 425-443.

Chang, C. L., Wei, C. C., & Lee, Y. H. (1999). Failure mode and effects analysis using fuzzy method and grey theory. Kybernetes, 28(9), 1072-1080.

Hawkins, P.G., & Woollons, D. J. (1998). Failure modes and effects analysis of complex engineering systems using functional models. Artificial Intelligence in Engineering, 12(4), 375-397.

Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making. Berlin: Springer.
James, E. B. (1998). Risk analysis: Two tools you can use to assure product safety and reliability.

Li, G. D., Yamaguchi, D., & Nagai, M. (2008). A grey-based rough decision-making approach to supplier selection. The International Journal of Advanced Manufacturing Technology, 36(9-10), 1032-1040.

Puente, J., Pino, R., Priore, P., & de la Fuente, D. (2002). A decision support system for applying failure mode and effects analysis. International Journal of Quality & Reliability Management, 19(2), 137-150.

Rhee, S. J., & Ishii, K. (2003). Using cost based FMEA to enhance reliability and serviceability. Advanced Engineering Informatics, 17(3), 179-188.

Sankar, N. R., & Prabhu, B. S. (2001). Modified approach for prioritization of failures in a system failure mode and effects analysis. International Journal of Quality & Reliability Management, 18(3), 324-336.

Scipioni, A., & Andreazza, D. (1997). Il sistema HACCP. Sicurezza e qualità nelle aziende agroalimentari. Hoepli Editore.

Wang, J., Ruxton, T., & Labrie, C. R. (1995). Design for safety of engineering systems with multiple failure state variables. Reliability Engineering & System Safety, 50(3), 271-284.

Wang, Y. M., Chin, K. S., Poon, G. K. K., & Yang, J. B. (2009). Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean. Expert Systems with Applications, 36(2), 1195-1207.

Yang, Z., Xu, B., Chen, F., Hao, Q., Zhu, X., & Jia, Y. (2010). A new failure mode and effects analysis model of CNC machine tool using fuzzy theory. In Information and Automation (ICIA), 2010 IEEE International Conference on (pp. 582-587). IEEE.

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