New Failure Mode and Effects Analysis: An Evidential Downscaling Method

Abstract

Failure mode and effects analysis (FMEA) is an engineering and management technique, which is widely used to define, identify, and eliminate known or potential failures, problems, errors, and risk from the design, process, service, and so on. In a typical FMEA, the risk evaluation is determined by using the risk priority number (RPN), which is obtained by multiplying the scores of the occurrence, severity, and detection. However, because of the uncertainty in FMEA, the traditional RPN has been criticized because of several shortcomings. In this paper, an evidential downscaling method for risk evaluation in FMEA is proposed. In FMEA model, we utilize evidential reasoning approach to express the assessment from different experts. Multi‐expert assessments are transformed to a crisp value with weighted average method. Then, Euclidean distance from multi‐scale is applied to construct the basic belief assignments in Dempster–Shafer evidence theory application. According to the proposed method, the number of ratings is decreased from 10 to 3, and the frame of discernment is decreased from 210 to 23, which greatly decreases the computational complexity. Dempster's combination rule is utilized to aggregate the assessment of risk factors. We illustrate a numerical example and use the proposed method to deal with the risk priority evaluation in FMEA. The results and comparison show that the proposed method is more flexible and reasonable for real applications. Copyright © 2014 John Wiley & Sons, Ltd.

A modified method for risk evaluation in failure modes and effects analysis of aircraft turbine rotor blades

“…It can help designers to adjust the existing programs, take recommended measures to reduce likelihood of failures, decrease probability of failure rates, and avoid potential accidents. 7,8 In general, the priority of a failure mode is determined by the risk priority number (RPN), which is obtained by multiplying the values of occurrence (O), severity (S), and detection (D) of a failure mode. The three factors O, S, and D are all evaluated using ratings (also called rankings or scores) from 1 to 10.…”

Location of Facility Based on Simulated Annealing and “ZKW” Algorithms

“…(17) Calculate Δ = NewPlanCost − NowPlanCost. (18) if (Δ < 0) then (19) NowPlan = NewPlan; (20) else (21) Calculate exp(−Δ / ) and Generate a random number. (22) if (exp(−Δ / ) > random) then (23) NowPlan = NewPlan; (24) end if (25) end if (26) ( ) − −; (27) end while//inner circulation (28) = /(1 + * ); //Cool down the temperature.…”

“…The goal of this problem is to find optimal locations to build facilities so that the solution of the problem can serve the consumers or clients with the least cost. Generally, the facility location problem could be divided into median problem [2,3], covering problem [4][5][6][7], center problem [8][9][10], multiproduct problem [11,12], dynamic location problem [13,14], multiobjective location problem [15][16][17], competitive problem [18,19], network reliability problem [20,21], and network center location problem [22,23].…”

Risk Evaluation in Failure Mode and Effects Analysis Using Fuzzy Measure and Fuzzy Integral

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