Multi-factor failure mode critically analysis using TOPSIS

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...

Design Software Failure Mode and Effect Analysis using Fuzzy TOPSIS Based on Fuzzy Entropy

One of the key pillars of any operating system is its proper software performance. Software failure can have dangerous effects and consequences and can lead to adverse and undesirable events in the design or use phases. The goal of this study is to identify and evaluate the most significant software risks based on the FMEA indices with respect to reduce the risk level by means of experts’ opini...

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 using data envelopment analysis

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