New FMEA Risks Ranking Approach Utilizing Four Fuzzy Logic Systems

Jelena Ivančan · Dragutin Lisjak

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Risk and Safety Analysis Reliability and Maintenance Optimization Multi-Criteria Decision Making

Abstract

Process equipment and plant maintenance problems are complex in the oil refinery business, since effective maintenance needs to ensure the reliability and availability of the plant. Failure Mode and Effects Analysis (FMEA) is a risk assessment tool that aims to determine possible failure modes, and to reduce the ratio of unknown failure modes, by identifying business-critical systems and the risks of their failures. For the identified failure modes, FMEA determines risk mitigation action(s). The goal is to prevent failure and keep assets and plants running at peak performance by providing fully integrated operations, maintenance, turnarounds, modifications, and asset integrity solutions, during all phases of the asset life cycle. This research was based on FMEA use/application in refineries’ units, and proposes the new fuzzy FMEA risk quantification approach method: “four fuzzy logic system”. The model included a pre-assessment, by sets of fuzzy logic systems, that examined the input parameters that affected the variables of severity, occurrence, and detectability. The proposed model prioritized risks better and addressed the drawbacks of the conventional FMEA method.

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References

2012Risk evaluation approaches in failure mode and effects analysis: A literature review 2003Modified failure mode and effects analysis using approximate reasoning 2014A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method 2001Failure mode and effects analysis using grey theory 2012Effective FMEAs 2015Use of fuzzy risk assessment in FMEA of offshore engineering systems 2017Total efficient risk priority number (TERPN): a new method for risk assessment 2018A new risk prioritization model for failure mode and effects analysis

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