MAFMA: multi‐attribute failure mode analysis

Failure Mode and Effects Analysis Using Data Envelopment Analysis

Multi-factor failure mode critically analysis using TOPSIS

The paper presents a multi-factor decision-making approach for prioritizing failure modes as an alternative to traditional approach of failure mode and effect analysis (FMEA). The approach is based on the ‘technique for order preference by similarity to ideal solution’ (TOPSIS). The priority ranking is formulated on the basis of six parameters (failure occurrence, non-detection, maintainability...

Failure Mode and Effect Analysis Power Plant Boiler

The current electricity demand is increasing, and now the government has involved third parties in the implementation of electricity so that investors compete in building infrastructure in order to apply electricity. Thermal power is one source that has a fast break event point compared to other resources that more interested investors even with all forms of pollution caused. A form of heat pow...

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 using data envelopment analysis

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