A developed fuzzy inference system using risk analysis approach by presentation to MUDPS-O technological system

Abstract

In the construction of machinery and equipment, the way with the widest spread to realization of the parts is the cutting of metals. The cutting process takes place in a MUDPS - O system (tool-machine, machine tool, device, semi manufactured article, edged tool, human factor). The important key success factors for upgrading availability and preventing catastrophic failure in the process industries like construction of machinery and equipment are safety and reliability. One of the most important technique for evaluating the safety and reliability is Failure Mode and Effects Analysis (FMEA) based the Risk Priority Number (RPN) to establish the risk priority order of failure modes. But, traditional FMEA, based RPN, has been subject of severe criticism in the literature because of limitations and significant improvements have been made to overcome the drawbacks of the RPN. This paper aimed to provide the risk analysis through an improved Fuzzy Inference System (FIS) - FMEA model, based on Fuzzy Logic and compare with the traditional FMEA, for MUDPS-O technological system. As shown in the results, the solution proposed here reduce duplication of the RPN numbers and generate a more precise, sensible risk assessment. Based on the results of the applications of this approach, appropriate corrective actions can be taken into account to improve the safety and reliability of process industry, such us the construction of machinery and equipment.