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Development of Modified Evaluation and Prioritization of Risk Priority Number in FMEA
N Sellappan, K. Palanikumar
Pages - 32 - 43     |    Revised - 05-04-2013     |    Published - 30-04-2013
Volume - 7   Issue - 1    |    Publication Date - April 2013  Table of Contents
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KEYWORDS
Failure Modes, Risk Factors, Risk Priority Number, Risk Prioritization, Statistical Analysis
ABSTRACT
Failure Mode and Effects Analysis (FMEA) is a tool used for identifying, analyzing and prioritizing failure modes of a product and process. The traditional FMEA determines the risk priority of each failure mode using the risk priority number (RPN) by multiplying the ranks of the three risk factors namely the Severity (S), Occurrence (O) and Detection (D). FMEA is carried out by a team of members and the critical problem is that the team often demonstrates different opinions from one member to another. Then, there is a disagreement in ranking value for the three risk factors. In case average out of difference is considered, the different combination of three risk factors may produce an identical RPN value for different failure modes. In the present work, the modified RPN prioritization method is introduced into traditional FMEA to solve the above issue and this method is applied in the risk evaluation of water leakage in the building. Finally, the proposed method has been evaluated using statistical analysis techniques. The result indicates that the proposed method is useful for RPN evaluation and prioritization of failure modes.
CITED BY (4)  
1 Sutrisno, A., Gunawan, I., Khorshidi, H. A., & Tangkuman, S. (2015). A new modified FMEA model for ranking the risk of maintenance waste considering hierarchy of root causes and effects. International Journal of Quality Engineering and Technology, 5(3-4), 217-237.
2 Tuna, B., & Behret, H. (2015). Alliance Management Process Design with Failure Mode and Effect Analysis. In Modelling and Management of Engineering Processes (pp. 163-174). Springer Berlin Heidelberg.
3 Motlagh, M. S., & Ayazi, S. A. A Hybrid Approach for Evaluation and Prioritization of FailureModes Using Modified FMEA & FAHP.
4 Ravinder, B., & Srinivas, K. Development of Regression Model for Project Risk Prioritization of Building Construction Projects.
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1 Y. Zare Mehrjerdi. “A chance constrained multiple objective goal programming model of fuzzy QFD and FMEA: Model development.” International Journal of Applied Operational Research,Vol. 2, pp. 41-53, 2012.
2 C. Jegadheesan, V. P. Arunachalam, S. R. Devadasan and P. S. S. Srinivasan. “Design and development of modified service failure mode and effects analysis model.” International Journal of Services and Operations Management, Vol. 3, pp. 111-126, 2007.
3 Khalid S. Mekki. “Robust design failure mode and effects analysis in designing for six sigma.”International Journal of Product Development, Vol. 3, pp. 292-304, 2006.
4 J. W. Senders. “FMEA and RCA: The mantras of modern risk management.” Journal of Quality and Safety in Health Care, Vol. 13, pp. 249-250, 2004.
5 Sheng-Hsien Teng, and Shin-Yann Ho. “Failure mode and effects analysis an integrated approach for product design and process control.” International Journal of Quality & Reliability Management, Vol. 13, pp. 8-26, 1996.
6 Suhendra Werner, Witt Fred and Compart. “Assessing Safety in Distillation Column using Dynamic Simulation and Failure Mode and Effect Analysis (FMEA).” Journal of Applied Sciences, Vol. 7, pp. 2033-2039, 2007.
7 N. R. Sankar and B. S. Prabhu. “Modified approach for prioritization of failures in a system failure mode and effects analysis.” International Journal of Quality & Reliability Management,Vol. 18, pp. 324-335, 2000.
8 M. J. Jafari, N. Gharari and H. R. Sheikhi. “The Reliability of a Tunnel Boring Machine.”International Journal of Occupational Hygiene, Vol. 1, pp. 20-25, 2009.
9 M. Piltan, R. Ghodsi, F. Quarashi and M. Azizian. “Analysis of Potential Failure Modes in an Assembly Line by Fuzzy Expert Systems. Journal of Mechanics Engineering and Automation,Vol. 1, pp. 445-449, 2011.
10 K. Chang, Y. Chang, T. Wen and C. Cheng. “An innovative Approach Integrating 2-Tuple and LOWGA Operators in Process Failure Mode and Effects Analysis.” International Journal of Innovative, Computing, Information and Control, Vol. 8, pp. 747-761, 2012.
11 B. Joo, S. Kim and Y. H. Moon. “FMEA for the reliability of hydroformed flanged part for automotive application.” Journal of Mechanical Science and Technology, Vol. 27, pp. 63-67,2013.
12 K. A. Lange, S. C. Leggett and B. Baker. “Potential Failure Mode and Effects Analysis(FMEA) Reference Manual.” 3rd Ed. Daimler Chrysler, Ford, General Motors, USA, 2001.
13 B. Almannai, R. Greenough and J. Kay. “A decision support tool based on QFD and FMEA for the selection of manufacturing automation technologies.” Robotics and Computer-Integrated Manufacturing, Vol. 24, pp. 501-507, 2008.
14 Kai Meng Tay and Chee Peng Lim. “Fuzzy FMEA with a guided rules reduction system for prioritization of failure.” International Journal of Quality & Reliability Management, Vol. 23, pp.1047-1066, 2006.
15 Dale E. Berger. “Introduction to Multiple Regression.” Claremont Graduate University, USA.Available: wise.cgu.edu/downloads/Regression.doc [2003].
Mr. N Sellappan
Salalah College of Technology - Oman
sanov18@yahoo.com
Dr. K. Palanikumar
Sri Sai Ram Institute of Technology - India