Using EWGM method to optimise the FMEA as a risk assessment methodology

Abstract

Failure Modes and Effect Analysis (FMEA) is a proactive, highly structured, and systematic approach for failure analysis. It has been also applied as a risk assessment tool, by ranking potential risks based on the estimation of Risk Priority Numbers (RPNs). This paper develops an improved FMEA methodology for strategic risk analysis. The proposed approach combines the Analytic Hierarchy Process (AHP) technique with the Exponential and Weighted Geometric Mean method (EWGM) to support risk analysis. AHP is applied to estimate the weights of three risk factors: Severity (S), Occurrence (O) and Detection (D), which integrate the RPN for each risk. The EWGM method is applied for ranking RPNs. Combining AHP with EWGM allows avoiding repetition of FMEA results. The results of the developed methodology reveal that duplication of RPNs has been decreased, and facilitating an effective risk ranking by offering a unique value for each risk. The proposed methodology focuses not only on high severity values for risk ranking but also it considers other risk factors (O and D), resulting in an enhanced risk assessment process. Furthermore, the weights of the three risk factors are considered. In this way, the developed methodology offers unique value for each risk in a simple way which makes the risk assessment results more accurate. This methodology provides a practical and systematic approach to support decision-makers in assessing and ranking risks that could affect long-term strategy implementation. The methodology was validated through the case study of a power plant in the Middle East, assessing 84 risks within 9 risk categories. The case study revealed that top management should pay more attention to key risks associated with electricity price, gas emissions, lost-time injuries, bad odor, and production.

Desempenho Mecânico De Diferentes Solos Estabilizados Com Cal Hidratada

“…Peeters et al (2018) combined FMEA with fault tree analysis (FTA) in an additive manufacturing system. Mashaqbeh et al (2019) proposed a method to optimize FMEA through an application in a power plant. Kulcsár et al (2020) introduced a pairwise comparison based FMEA which allows the estimation of indices of the previously not evaluated risks.…”

Developing an integrated conceptual framework for monitoring and controlling risks related to occupational health and safety

“…In the literature, the use of Multiattribute utility theory (MAUT) and Event Tree Analysis (Garcez & Almedia, 2013;Brito & Almedia, 2009), the use of fuzzy logic based FMEA (Yazdi, 2019, Alyami et al, 2019& Pillay & Wang, 2003 and the use of multi criteria decision making based FMEA (AL Mashaqbeh et al, 2019 have been conducted to decrease uncertainty and to enhance the current risk ranking technique. However, different risk priorities for the same hazards can be obtained, which causes failures in case of the use of multiple risk analysis approaches (Gul & Ak, 2018, Liu et al, 2017a.…”

Time‐varying FMEA method based on interval‐valued spherical fuzzy theory

“…Equal importance given to risk factors in conventional FMEA can cause some problems, such as obtaining the same RPN. Various methods, such as analytic hierarchy process (AHP), 16 consensual‐driven method, 17 and compromise method, 18 as well as dividing risk factors into subjective and objective have been proposed to address the relative importance of risk factors. Ye 19 introduced entropy operator to determine subjective weights based on performance matrixes.…”