期刊
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
卷 34, 期 4, 页码 2625-2639出版社
IOS PRESS
DOI: 10.3233/JIFS-17594
关键词
Soft failure mode and effects analysis; ordered weighted geometric; decision making trial and evaluation laboratory; extreme low-k dielectric integration; hesitant fuzzy linguistic term sets
资金
- Ministry of Science and Technology, Taiwan [MOST 103-2410-H-145-002, MOST 105-2410-H-145-002, MOST 106-2410-H-145-001]
Risk assessment is a critical part of reliability engineering and is vital to the success of an enterprise's performance. Traditionally, risk assessment has used the risk priority number (RPN) to evaluate the risk of failure. Unfortunately, the traditional RPN method has several shortcomings-it loses partially valuable information when some data are missing or nonexistent and does not consider the ordered weight between the severity, occurrence, and detection indicators; further, it does not consider the direct and indirect relationships between failure modes and causes of failure, and it has a high duplication rate. To resolve these issues, this paper integrates the ordered weighted geometric (OWG) operator and hesitant fuzzy linguistic term sets to increase the effectiveness of failure mode and effects analysis (FMEA), named soft FMEA. An empirical case of extreme low-k (ELK) dielectric integration is used to illustrate the proposed method and demonstrate its value. Our results show that the soft FMEA method is applicable to real-world situations and constitutes a more general FMEA method.
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