Risk evaluation approaches in failure mode and effects analysis: A literature review

Liu, Hu‐Chen; Ling, Liansheng; Liu, Nan

doi:10.1016/j.eswa.2012.08.010

Cited by 707 publications

(515 citation statements)

References 78 publications

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“…Some of the more obvious ones as the fact that relative importance among O, S, and D is not taken into consideration or that different combinations of O, S, and D may produce exactly the same value of RPN, but their hidden risk implications may be totally different and that the RPN considers only three risk factors, mainly in terms of safety, that should be addressed in the future [45].…”

Section: Resultsmentioning

confidence: 99%

European Union Oil Import Dependency Risk Analysis

Ćirović¹,

Makajić-Nikolić²,

Petrović³

et al. 2015

Pol. J. Environ. Stud.

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Section: Resultsmentioning

confidence: 99%

European Union Oil Import Dependency Risk Analysis

Ćirović¹,

Makajić-Nikolić²,

Petrović³

et al. 2015

Pol. J. Environ. Stud.

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“…The fuzzy multi-criteria decision making methodology is a popular method for bridging the gaps and limitations of the conventional FMEA approach (Kutlu and Ekmecioglu, 2012;Liu et al 2013). In the fuzzy TOPSIS analysis, the alternative closest to the fuzzy positive ideal solution (FPIS) and farthest from the fuzzy negative ideal solution (FNIS) is 15 selected as the optimal alternative (Madi, 2011 andKolios et al, 2010).…”

Section: Fuzzy-topsis Methodsmentioning

confidence: 99%

“…The application of the FMEA technique dates back to the 1950-60s (Arhagba, 2010;Liu et al, 2013) and since then, it has been used in a wide range of industries including nuclear, aerospace, mechanical, automotive, medical, electronics and the onshore/offshore oil and gas industries. FMEA provides a structured approach to the examination of potential failure modes and impact of failures on product operation during field use or to the identification and correction of process problems prior to first execution (David et al, 2010;Wabnitz and Netherland, 2001).…”

Section: Introductionmentioning

confidence: 99%

“…Below are listed some of the main drawbacks that have been identified (in relative order of importance): A vast majority of the studies conducted on FMEA methodologies aim at bridging these gaps. According to Liu et al (2013), the techniques proposed to overcome the FMEA drawbacks can be grouped into five key categories, namely Multi-Criteria Decision Making (MCDM); Artificial Intelligence (AI); Mathematical Programming (MP); Hybrid approaches; others.…”

Section: Introductionmentioning

confidence: 99%

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Failure mode and effects analysis using a fuzzy-TOPSIS method: a case study of subsea control module

Kolios

Umofia

Shafiee

2017

IJMCDM

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Failure Mode and Effects Analysis (FMEA) is one of the most common reliability engineering techniques used for identifying, evaluating and mitigating the engineering risks. This technique has received much attention in recent years, particularly in the offshore oil and gas industry. Globally, the search for hydrocarbon is pushing the limits into deep and ultra-deep waters with subsea production system (SPS) as the preferred technology for the exploration and production of this all-important resource. A key part of the SPS is the subsea control module (SCM) whose function is essential for the survival and normal performance of the entire system. In this paper, the potential failure modes of a subsea control module are identified based on industry experts' opinions and experiences. This is followed by a comprehensive component based FMEA study using the RiskPriority-Number (RPN) where the most critical failure modes in the SCM are revealed. A fuzzy TOPSIS-based multiple criteria decision making methodology is then proposed to analyze and prioritize the most critical failure modes identified by the FMEA study. To this aim, a distinct ten-parameter criticality model is developed and, for the first time, is applied to evaluate the risks associated with SCM failures. In this method, the expert opinions are used to allocate appropriate weight coefficients for each of the ten risk factors followed by a statistical analysis that will highlight their correlation and relative importance. The results indicate that the proposed fuzzy TOPSIS model can significantly improve the performance and applicability of the conventional FMEA technique in offshore oil and gas industry.

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“…Also, traditional method cannot capture different team members' opinions. There are different types of FMEA approaches in the literature such as multi-criteria decision making (MCDM), mathematical programming, artificial intelligence, hybrid approaches and others [9]. FMEA using fuzzy evidential reasoning approach and grey theory overcome the mentioned drawbacks of the traditional method [10].…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Risk Evaluation Model for Automotive Production

Turgut¹,

Üstündağ²

2014

IJMLC

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Abstract-Failure mode and effects analysis (FMEA) is used commonly for the prioritization of failures in the automotive production. Traditional FMEA determines the risk priorities of failure modes, which require the risk factors like the occurrence (O), severity (S) and detection (D) of each failure mode to be evaluated. However, it has some drawbacks so that affect the risk evaluation and correction action. It is very difficult for three risk factors to be evaluated precisely. Additionally, traditional method cannot capture different team members' opinions and prioritize failure modes under different types of uncertainties. So, in this study, FMEA using fuzzy evidential approach and grey theory are used to prioritize the failures for a truck production company in Turkey. Degrees of relation for the six failure modes are determined. The defect of "unstable" is found as the most important and serious risk according to the analysis.Index Terms-Automotive production, failure mode and effects analysis (FMEA), fuzzy evidential approach, grey theory, risk prioritization.

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Risk evaluation approaches in failure mode and effects analysis: A literature review

Cited by 707 publications

References 78 publications

European Union Oil Import Dependency Risk Analysis

European Union Oil Import Dependency Risk Analysis

Failure mode and effects analysis using a fuzzy-TOPSIS method: a case study of subsea control module

A Hybrid Risk Evaluation Model for Automotive Production

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