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Algorithms 2018, 11(4), 34; doi:10.3390/a11040034

Failure Mode and Effects Analysis Considering Consensus and Preferences Interdependence

1
School of Transportation and Logisitics, Southwest Jiaotong University, Chengdu 611756, China
2
National Laboratory of Railway Transportation, Southwest Jiaotong University, Chengdu 611756, China
*
Author to whom correspondence should be addressed.
Received: 4 February 2018 / Revised: 15 March 2018 / Accepted: 15 March 2018 / Published: 21 March 2018
(This article belongs to the Special Issue Algorithms for Decision Making)
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Abstract

Failure mode and effects analysis is an effective and powerful risk evaluation technique in the field of risk management, and it has been extensively used in various industries for identifying and decreasing known and potential failure modes in systems, processes, products, and services. Traditionally, a risk priority number is applied to capture the ranking order of failure modes in failure mode and effects analysis. However, this method has several drawbacks and deficiencies, which need to be improved for enhancing its application capability. For instance, this method ignores the consensus-reaching process and the correlations among the experts’ preferences. Therefore, the aim of this study was to present a new risk priority method to determine the risk priority of failure modes under an interval-valued Pythagorean fuzzy environment, which combines the extended Geometric Bonferroni mean operator, a consensus-reaching process, and an improved Multi-Attributive Border Approximation area Comparison approach. Finally, a case study concerning product development is described to demonstrate the feasibility and effectiveness of the proposed method. The results show that the risk priority of failure modes obtained by the proposed method is more reasonable in practical application compared with other failure mode and effects analysis methods. View Full-Text
Keywords: failure mode and effects analysis; preference interdependence; consensus-reaching process; geometric Bonferroni mean; multi-attribute border approximation area comparison failure mode and effects analysis; preference interdependence; consensus-reaching process; geometric Bonferroni mean; multi-attribute border approximation area comparison
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Zhu, J.; Wang, R.; Li, Y. Failure Mode and Effects Analysis Considering Consensus and Preferences Interdependence. Algorithms 2018, 11, 34.

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