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Published in:
The Multi-Criteria Approach Decision Read chapter Read first chapter

2020 | OriginalPaper | Chapter

3. Fuzzy Modes and Effects Analysis by Using Fuzzy AHP

Authors : Lotfi Azzabi, Dorra Azzabi, Abdessamad Kobi

Published in: The Multi-Criteria Approach for Decision Support

Publisher: Springer International Publishing

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Abstract

FMEA is a systematic process for identifying potential design or process failure before they occur. The aim is to eliminate them or minimize the risk associated with them. The method is a procedure to analyze failure modes and classify them by severity. It is a systematic process for identifying potential failures before they occur with the intent to eliminate them or minimize the risk associated with them. A group of experts make this quantification gathering information from memory and experience of the plant personal (Ravi and Prabhu 2001). The most known way to implement this analysis is in an ordinary tabular form which is difficult to trace. FMEA, providing a framework for cause and effect analysis of potential product failures (Chin et al. 2008), has a purpose of prioritizing the risk priority number (RPN) of the product design or planning process to assign the limited resources to the most serious risk item.

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previous chapter The Multi-Objective Optimization Problem with Fuzzy Goal Programming
next chapter Multi-Criteria Approach to Classification Systems of Control Aircraft Flight: Application PROMETHEE Method
Literature
Ahmad, Z., Azamathulla, H. M., & Ghani, A. A. (2001). ANFIS-based approach for estimation transverse mixing coefficient. IWA-Water Science & Technology, 63(5), 1004–1009.CrossRef
Azamathulla, H. M., & Wu, F.-C. (2011). Support vector machine approach to for longitudinal dispersion coefficients in streams. Applied Soft Computing, 11(2), 2902–2905.CrossRef
Ben-Daya, M., & Raouf, A. (1996). A revised failure mode and effects analysis model. International Journal of Quality & Reliability Management, 13(1), 43–47.CrossRef
Bowles, J. B., & Pelaez, C. E. (1995). Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis. Reliability Engineering and System Safety, 50, 203–213.CrossRef
Bowles, J. B. (2004). An assessment of PRN prioritization in a failure modes effects and criticality analysis. Journal of the IEST, 47, 51–56.CrossRef
Braglia, M., & Bevilacqua, M. (2000). Fuzzy modeling and analytic hierarchy processing as a means to quantify risk levels associated with failure modes in production systems. Technology, Law and Insurance, 5(3–4), 125–134.CrossRef
Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233–247.CrossRef
Can Kutlu, A., & Ekmekcioğlu, M. (2012). Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP. Expert Systems with Applications, 39(2012), 61–67.CrossRef
Chin, K. S., Chan, A., & Yang, J. B. (2008). Development of a fuzzy FMEA based product design system. International Journal of Advanced Manufacturing Technology, 36, 633–649.CrossRef
Gilchrist, W. (1993). Modeling failure mode and effect analysis. International Journal of Quality and Reliability Management, 10(5), 16–23.CrossRef
Guimaraes, A. C. F., & Lapa, C. M. F. (2004). Fuzzy FMEA applied to PWR chemical and volume control system. Progress in Nuclear Energy, 44(3), 191–213.CrossRef
Guimaraes, A. C. F., & Lapa, C. M. F. (2007). Fuzzy inference to risk assessment on nuclear engineering systems. Applied Soft Computing, 7, 17–28.CrossRef
Hsieh, T. Y., Tzeng, S. T., & Lu, G. H. (2004). Fuzzy MCDM approach for planning and design tenders selection in public office buildings. International Journal of Project Management, 22(7), 573–584.CrossRef
Hua, Z. S., Wei, Y., Dun, Z., Sai, L. N., Chong-Fa, C., A-Lin, L., & Lu Lia (2009). A fuzzy analytic hierarchy process (FAHP) approach to eco-environmental vulnerability assessment for the danjiangkou reservoir area, China, Ecological Modelling, 220(23), 10.
Liang-hsuan, C., & When-chang, K. (2009). Fuzzy linear programming models for new product design using QFD with FMEA. Applied Mathematical Modelling, 33, 633–647.CrossRef
Pillay, A., & Wang, J. (2003). Modified failure mode and effects analysis using approximate reasoning. Reliability Engineering & System Safety, 79, 69–85.CrossRef
Ravi, N., & Prabhu, B. S. (2001). Application of fuzzy logic to matrix FMECA. In D. O. Thompson & D. E. Chimenti (Eds.), Review of Progress in quantitative nondestructive evaluation (Vol. 20). New York: American Institute of Physics.
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 2001, 18(3), 324–335.CrossRef
Sharma, R. K., Kumar, D., & Kumar, P. (2005). Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modeling. International Journal of Quality and Reliability Management, 22(9), 986–1004.CrossRef
Tay, K. M., & Lim, C. P. (2006). Fuzzy FMEA with a guided rules reduction system for prioritization of failures. International Journal of Quality and Reliability Management, 23(8), 1047–1066.CrossRef
Xu, K., Tang, L. C., Xie, M., Ho, S. L., & Zhu, M. L. (2002). Fuzzy assessment of FMEA for engine systems. Reliability Engineering and System Safety, 75, 17–29.CrossRef
Yang, C. C., & Chen, B. S. (2004). Key quality performance evaluation using fuzzy AHP. Journal of the Chinese Institute of Industrial Engineers, 21(6), 543–550.CrossRef
Metadata
Title
Fuzzy Modes and Effects Analysis by Using Fuzzy AHP
Authors
Lotfi Azzabi
Dorra Azzabi
Abdessamad Kobi
Copyright Year
2020
Book
The Multi-Criteria Approach for Decision Support

Print ISBN: 978-3-030-57261-7

Electronic ISBN: 978-3-030-57262-4

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-57262-4_3