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2007•Journal of the Chinese Institute of Industrial EngineersRequires access

FUZZY ASSESSMENT OF FMEA FOR A SEWAGE PLANT

Ruey Huei Yeh, Mei-Huan Hsieh

Open publisher page 48 citations

Abstract

Failure mode and effect analysis (FMEA) is a widely used risk assessment tool to identify the potential failure modes of a product or a process. By ranking the priorities for corrective action according to the respective effects of the failures, the chance of the failures can be reduced or eliminated. However, there could be several difficulties during conducting conventional FMEA such as the subjective and qualitative description in natural language, the relative importance among the risk ratings, the difference of risk representation among the same ratings; and the knowledge shared among FMEA team members. Thus, a new risk assessment system based on fuzzy theory is proposed in this paper to deal with these difficulties. Furthermore, an FMEA is conducted for a sewage plant to demonstrate the proposed fuzzy assessment of FMEA.

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What this paper is about

Failure mode and effect analysis (FMEA) is a widely used risk assessment tool to identify the potential failure modes of a product or a process. By ranking the priorities for corrective action according to the respective effects of the failures, the chance of the failures can be reduced or eliminated. However, there could be several difficulties during conducting conventional FMEA such as the subjective and qualitative description in natural language, the relative importance among the risk ratings, the difference of risk representation among the same ratings; and the knowledge shared among FMEA team members. Thus, a new risk assessment system based on fuzzy theory is proposed in this paper to deal with these difficulties. Furthermore, an FMEA is conducted for a sewage plant to demonstrate the proposed fuzzy assessment of FMEA.

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OpenAlex reports 48 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Failure mode and effect analysis (FMEA) is a widely used risk assessment tool to identify the potential failure modes of a product or a process. By ranking the priorities for corrective action according to the respective effects of the failures, the chance of the failures can be reduced or eliminated. However, there could be several difficulties during conducting conventional FMEA such as the subjective and qualitative description in natural language, the relative importance among the risk ratings, the difference of risk representation among the same ratings; and the knowledge shared among FMEA team members. Thus, a new risk assessment system based on fuzzy theory is proposed in this paper to deal with these difficulties. Furthermore, an FMEA is conducted for a sewage plant to demonstrate the proposed fuzzy assessment of FMEA.

Key concepts: Failure mode and effects analysis, Fuzzy logic, Ranking (information retrieval), Risk assessment, Risk analysis (engineering), Reliability engineering, Engineering, Product (mathematics)

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