Improvement of Process Failure Mode and Effects Analysis Using Fuzzy Logic

Abstract:

Risk analysis increased in importance within environmental, health and safety regulation last few years. Process Failure Mode and Effects Analysis (PFMEA) is one of the most used techniques to evaluate a process for strengths, weaknesses, potential problem areas or failure modes, and to prevent problems before they occur. The traditional PFMEA determines the risk priorities of failure modes using the risk priority numbers (RPNs) by multiplying the scores of the risk factors like the occurrence (O), severity (S) and detection (D) of each failure mode. The method has been criticized to have several shortcomings. Fuzzy logic approach is preferable in order to remove the deficiencies in assigning the risk priority numbers. In this study, a fuzzy-based FMEA is to be applied to improve the manufacturing process of rear bumper, injection part used in automotive industry. The fuzzy model PFMEA can provide the stability of process assurance.

• Periodical: Applied Mechanics and Materials (Volume 371)
• Pages: 822-826
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.371.822
• Online since: August 2013
• Authors: Nicoleta Rachieru, Nadia Belu, Daniel Constantin Anghel
• Keywords: Effect Analysis, Fuzzy Set, Process Failure Modes, Quality Improvement, Risk Evaluation

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