Optimizing Failure Modes and Effects Analysis with Fuzzy Multiattribute Grey Theory and DEA

The Failure Modes and Effects Analysis (FMEA) is one of the major approaches utilized for the risk analysis and risk management in many fields of human activity. The usual FMEA tools are not effective in dealing with complex systems institutional concentration of uncertainty over, and do not deliver the optimal solutions. To avoid this obstacle, the current study will fuse the successful managerial coupling of Fuzzy Multiattribute Grey Theory(FMGT) and Data Envelopment Analysis(DEA) to optimize the sequencing of FMEA process. The main strength of FMGT lies in its ability to develop/ construct an imprecise information and continual attributes which are related to failure modes and their influence on the system, while cost analysis done in DEA offers the idea of efficiency solutions that are optimal. By blending both control strategies of FMEGT and DEA within an integrated framework, FMEA analysis is able to reach greater effectiveness. Serving as a case study we do so in a series of specific tests and simulations, the approach proposed successfully analyzes critical failure modes, risk factors, and resource allocation. The results indicate that the suggested integrated way acts as a facilitator of decision-making by minimizing risk and making system wise reliability in complex industrial plants.