4.7 Article

Enhancing FMEA assessment by integrating grey relational analysis and the decision making trial and evaluation laboratory approach

期刊

ENGINEERING FAILURE ANALYSIS
卷 31, 期 -, 页码 211-224

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engfailanal.2013.02.020

关键词

Failure modes and effects analysis; Risk priority number; Grey relational analysis; Decision making trial and evaluation laboratory

资金

  1. National Science Council of the Republic of China [NSC 99-2410-H-145-001, NSC 100-2410-H-145-001, NSC 101-2410-H-145-001]

向作者/读者索取更多资源

Failure modes and effects analysis (FMEA) is used widely to improve product quality and system reliability, employing a risk priority number (RPN) to assess the influence of failures. The RPN is a product of three indicators-severity (S), occurrence (0), and detection (D)-on a numerical scale from 1 to 10. However, the traditional RPN method has been criticized for its four chief shortcomings: its (1) high duplication rate; (2) assumption of equal importance of S, 0, and D; (3) not following the ordered weighted rule; and (4) failure to consider the direct and indirect relationships between failure modes (FMs) and causes of failure (CFs). To resolve these drawbacks, we propose a novel approach, integrating grey relational analysis (GRA) and the decision-making trial and evaluation laboratory (DEMATEL) method, to rank the risk of failure, wherein the GRA is used to modify RPN values to lower duplications and the ordered weighted rule is followed; then, the DEMATEL method is applied to examine the direct and indirect relationships between FMs and CFs, giving higher priority when a single CF causes FMs to occur multiple times. Finally, an actual case of the TFT-LCD cell process is presented to verify the effectiveness of our method compared with other methods in providing decision-makers more reasonable reference information. (C) 2013 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据