Paper Info
Title
Evaluating the risk of failure modes with extended MULTIMOORA method under fuzzy environment
Abstract
Failure mode and effects analysis (FMEA) is a prospective risk assessment tool which has been widely used within various industries, particularly the aerospace, automotive and healthcare industries. However, the conventional risk priority number (RPN) method has been criticized much for its deficiencies in risk factor weights, computation of RPN, evaluation of failure modes and so on. Therefore ranking of failure modes based on their related risk factors is necessary seeking to overcome the shortcomings and enhance the assessment capability of the traditional FMEA. In this paper, we treat the risk factors and their weights as fuzzy variables and evaluate them using fuzzy linguistic terms. As a result, a new risk priority model is proposed for evaluating the risk of failure modes based on fuzzy set theory and MULTIMOORA method. An empirical case of preventing infant abduction is provided to illustrate the potential applications and benefits of the proposed fuzzy FMEA. The main findings of this article are related with the proposed technique for failure modes assessment and ranking, and application of this technique for the prevention of infant abduction, which is a devastating problem for a healthcare facility.
Year
DOI
Venue
2014
10.1016/j.engappai.2014.04.011
Eng. Appl. of AI
Keywords
Field
DocType
failure mode and effects analysis,fuzzy logic,multimoora.,risk evaluation
Failure mode and effects analysis,Data mining,Risk evaluation,Ranking,Computer science,Fuzzy logic,Risk management tools,Fuzzy set,Risk analysis (engineering),Artificial intelligence,Machine learning,Automotive industry
Journal
Volume
Issue
ISSN
34,
C
0952-1976
Citations 
PageRank 
References 
23
0.87
19
Authors
4
Name
Order
Citations
PageRank
Hu-Chen Liu169834.30
Xiaojun Fan21034.26
Ping Li31003.23
Yizeng Chen4553.45