Paper Info
Title
Multiple perspectives on analyzing risk factors in FMEA
Abstract
As an important part of the Design for X tools, Design for Quality (DFQ) is used to reduce cost and improve quality of products while maintaining reliability in preliminary design phase. As a powerful tool to reduce and eliminate possible failures, failure mode and effects analysis (FMEA) is broadly applied in detail design phase. However, scholars have criticized the traditional FMEA model for several shortages. In the past decades, nearly all the FMEA methods have been presented to heighten the rationality of ranking results by considering the risk factors (severity (S), occurrence (O) and detection (D)) simultaneously. The simultaneous analysis of risk factors (RFs) may result in the ignorance of impact on failure modes from extreme RFs. In fact, different combinations of RFs may obtain more comprehensive risk information about failure modes. Thus, a novel FMEA classification method is proposed by combining risk factors in pairs (i.e., S&O, S& D and O&D) to conduct risk assessment which can avoid interaction effect caused by simultaneous analysis of risk factors. Specifically, the fuzzy adaptive resonance theory is used to conduct failure modes classification based on the assessment results of S&O, S&D and O&D obtained by the grey relational analysis. Finally, a real case study, i.e., the final assembly process of spark plugs, from an automotive manufacturer in China is adopted to clarify the advantages of the proposed method. (c) 2022 Elsevier B.V. All rights reserved.
Year
DOI
Venue
2022
10.1016/j.compind.2022.103712
COMPUTERS IN INDUSTRY
Keywords
DocType
Volume
Risk assessment, Failure mode and effect analysis, Multi-perspective reanalysis of risk factors, Grey relational analysis, Fuzzy adaptive resonance theory
Journal
141
ISSN
Citations 
PageRank 
0166-3615
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Linhan Ouyang101.01
Yushuai Che200.34
Ling Yan300.34
Chanseok Park4308.08