Group multicriteria method to prioritize actions in failure mode and effects analysis

Failure Mode and Effects Analysis Using Data Envelopment Analysis

Failure Mode and Effects Analysis Using Generalized Mixture Operators

Failure mode and effects analysis (FMEA) is a method based on teamwork to identify potential failures and problems in a system, design, process and service in order to remove them. The important part of this method is determining the risk priorities of failure modes using the risk priority number (RPN). However, this traditional RPN method has several shortcomings. Therefore, in this paper we p...

Failure mode and effects analysis: A fuzzy group MCDM approach

In this paper, a new fuzzy group decision making (FGDM) model based on  -level sets, is proposed to generate, more accurate fuzzy using, risk priority numbers (RPNs) and ensure to be robust against the uncertainty. This model allows decision makers (DMs) to evaluate FMEA risk factors using linguistic terms rather than precise numerical values, allows them to express their opinions independentl...

failure mode and effects analysis using data envelopment analysis

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Developing a Method for Risk Analysis in Tile and Ceramic Industry Using Failure Mode and Effects Analysis by Data Envelopment Analysis

The failure mode and effects analysis (FMEA) is a widely used analytical technique that helps to identify and reduce the risks of failure in a system, component, or process. One important issue of FMEA is the determination of the risk priorities of failure modes. Risk ranking is produced in order to prioritize the focus on each of the failure modes that are identified. In this study, we applied...