چکیده:
The failure mode and effects analysis (FMEA) is a widely used analytical technique that helps to identify and reduce the risks of failure in a system, component, or process. One important issue of FMEA is the determination of the risk priorities of failure modes. Risk ranking is produced in order to prioritize the focus on each of the failure modes that are identified. In this study, we applied FMEA which uses data envelopment analysis (DEA), a well-known performance measurement tool, to determine the risk priorities of 10 failure modes in the Tile and Ceramic Company. The Fuzzy set theory in capturing uncertainty fuzzy logic is used to evaluate S, O, and D. Consequently, the results of the DEA – FMEA ranking show that Decorating Fault and Pinhole are ranked the first and the second, respectively, and in order to improve them some suggestions are recommended to managers of company.
خلاصه ماشینی:
MSs of Industrial Management, Faculty of Management & Accounting, University of Yazd, Iran (Received: 10 April 2013 - Revised: 11 November 2013 - Accepted: 24 November 2013) Abstract The failure mode and effects analysis (FMEA) is a widely used analytical technique that helps to identify and reduce the risks of failure in a system, component, or process.
In this study, we applied FMEA which uses data envelopment analysis (DEA), a well-known performance measurement tool, to determine the risk priorities of 10 failure modes in the Tile and Ceramic Company.
Furthermore, a new FMEA was applied, which utilizes DEA, a well-known performance measurement tool, to determine the risk priorities of failure modes.
The failure mode and effects analysis (FMEA) is a widely used analytical technique that helps with identifying and reducing the risks of failure in a system, component, part, and process.
FMEA is known to be a systematic procedure for the analysis of a system to identify the potential failure modes, their causes and effects on system performance.
The risk factors for each injury, variable, and time period were based on risk priority numbers (RPNs) obtained from failure mode and effects analysis (FMEA) methodology, and these risk factors were incorporated into the model as objective function parameters.
In FMEA, potential failure modes are determined and can be evaluated by risk factors known as severity, occurrence, and detection.
"Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modeling".