标题: A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method
作者: Liu, HC (liu, Hu-Chen); You, JX (You, Jian-Xin); You, XY (You, Xiao-Yue); Shan, MM (Shan, Meng-Meng)
来源出版物: APPLIED SOFT COMPUTING 卷: 28 页: 579-588 DOI: 10.1016/j.asoc.2014.11.036 出版年: MAR 2015
Web of Science 核心合集中的 "被引频次": 23
被引频次合计: 27
摘要: Failure mode and effects analysis (FMEA) is one of the most popular reliability analysis tools for identifying, assessing and eliminating potential failure modes in a wide range of industries. In general, failure modes in FMEA are evaluated and ranked through the risk priority number (RPN), which is obtained by the multiplication of crisp values of the risk factors, such as the occurrence (O), severity (S), and detection (D) of each failure mode. However, the conventional RPN method has been considerably criticized for various reasons. To deal with the uncertainty and vagueness from humans' subjective perception and experience in risk evaluation process, this paper presents a novel approach for FMEA based on combination weighting and fuzzy VIKOR method. Integration of fuzzy analytic hierarchy process (AHP) and entropy method is applied for risk factor weighting in this proposed approach. The risk priorities of the identified failure modes are obtained through next steps based on fuzzy VIKOR method. To demonstrate its potential applications, the new fuzzy FMEA is used for analyzing the risk of general anesthesia process. Finally, a sensitivity analysis is carried out to verify the robustness of the risk ranking and a comparison analysis is conducted to show the advantages of the proposed FMEA approach. (C) 2014 Elsevier B.V. All rights reserved.
入藏号: WOS:000348452500055
文献类型: Article
地址: [liu, Hu-Chen; You, Jian-Xin; Shan, Meng-Meng] Shanghai Univ, Sch Management, Shanghai 200444, Peoples R China.
[liu, Hu-Chen; You, Jian-Xin; You, Xiao-Yue] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China.
通讯作者地址: Liu, HC (通讯作者),Shanghai Univ, Sch Management, 99 Shangda Rd, Shanghai 200444, Peoples R China.
电子邮件地址: huchenliu@shu.edu.cn
ISSN: 1568-4946
eISSN: 1872-9681
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