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A New Approach for Prioritization of Failure Modes in Design FMEA using ANOVA
Abstract:The traditional Failure Mode and Effects Analysis (FMEA) uses Risk Priority Number (RPN) to evaluate the risk level of a component or process. The RPN index is determined by calculating the product of severity, occurrence and detection indexes. The most critically debated disadvantage of this approach is that various sets of these three indexes may produce an identical value of RPN. This research paper seeks to address the drawbacks in traditional FMEA and to propose a new approach to overcome these shortcomings. The Risk Priority Code (RPC) is used to prioritize failure modes, when two or more failure modes have the same RPN. A new method is proposed to prioritize failure modes, when there is a disagreement in ranking scale for severity, occurrence and detection. An Analysis of Variance (ANOVA) is used to compare means of RPN values. SPSS (Statistical Package for the Social Sciences) statistical analysis package is used to analyze the data. The results presented are based on two case studies. It is found that the proposed new methodology/approach resolves the limitations of traditional FMEA approach.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1332908Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 4952
 K. G. Johnson and M. K. Khan, "A Study into the use of the Process Failure Mode and Effects Analysis (PFMEA) in the Automotive Industry in the UK", Journal of Materials Processing Technology, 2003, vol.139, pp. 348-356.
 John B. Bowles and C. Enrique Pel├íez, "Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis", Journal of Reliability Engineering and System Safety, 1995, vol. 50, pp. 203-213.
 D. H. Stamatis, Failure Mode and Effects Analysis: FMEA from Theory to Execution, Productivity Press India Pvt. Ltd., Madras, 1997.
 Paul Palady, Failure Modes and Effects Analysis: Predicting & Preventing Problems before they Occur, PT Publications Inc., FL 33409, 1995.
 Rudiger Wirth, Bernd Berthold, Anita Kramer and Gerhard Peter, "Knowledge-based Support of System Analysis for the Analysis of Failure Modes and Effects", Journal of Artificial Intelligent, 1996, vol. 9, no. 3, pp. 219-229.
 Fiorenzo Franceschini and Maurizio Galetto, "A New Approach for Evaluation of Risk Priorities of Failure Modes in FMEA", International Journal of Production Research, 2001, vol.39, no.13, pp. 2991-3002.
 N. Ravishankar and B. S. Prabhu,"Modified Approach for Prioritization of Failures in a System Failure Mode and Effects Analysis", International Journal of Quality and Reliability Management, 2001, vol. 18, no. 3, pp.324-335.
 Anand Pillay and Jin Wang, "Modified failure mode and effects analysis using approximate reasoning", Journal of Reliability Engineering and System Safety, 2003, vol. 79, pp. 69-85.
 Seung J. Rhee, and Kosuke Ishii, "Using Cost based FMEA to Enhance Reliability and Serviceability", Journal of Advanced Engineering Informatics, 2003, vol.17, pp. 179-188.
 S. M. Seyed-Hosseini, N. Safaei and M. J. Asgharpour, "Reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory technique", Journal of Reliability Engineering & System Safety, 2006, vol. 91, issue 8, pp. 872 - 881.
 V. P. Arunachalam and C. Jegadheesan, "Modified Failure Mode and effects Analysis: A Reliability and Cost-based Approach", The ICFAI Journal of Operations Management, 2006, pp. 7-20.
 Chensong Dong, "Failure mode and effects analysis based on fuzzy utility cost estimation", International Journal of Quality & Reliability Management, 2007, vol. 24, issue 9, pp. 958 - 971.
 Jih Kuang Chen, "Utility Priority Number Evaluation for FMEA", Journal of Failure Analysis and Prevention, 2007, vol. 7, no. 5, pp. 321 - 328.
 Ying-Ming Wang, Kwai-Sang Chin, Gary Ka Kwai Poon and Jian-Bo Tang, "Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean", Journal of Expert Systems with Applications, to be published.