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A modified method to improve failure analysis
International Journal of System Assurance Engineering and Management Pub Date : 2021-01-16 , DOI: 10.1007/s13198-020-01043-1
Ilyas Mzougui , Zoubir El Felsoufi

Failure mode and effects analysis (FMEA) is an effective method that is widely used to manage failures and prevent risks, and, thanks to its simplicity and its versatility, the most important and renowned quality norms request it use. However, in literature, several works have criticized this tool and claims that it had short-comes. The FMEA team members are considered with the same importance and failures values are calculated meaning their judgement and without any differentiation. Moreover, failures modes are supposed to be independent and the effect of their relationship is ignored in the risk analysis. The accuracy of the FMEA analysis is also reduced due to the fact that risk factors are supposed to have the same importance. In this article, we propose to combine FMEA with other methods in order to overcame it limitedness. Firstly, a criteria selection will be proposed in order to select the most relevant factors for risk analysis. Their weights will be calculated using the best worst method (BWM). Secondly, a weight associated to every team member will be calculated and used to obtain failures values. Thirdly, the design structure method (DSM) will be used to identify the relationship between failures and to judge their importance, we propose to use the fuzzy technique for order of preference by similarity method (FTOPSIS). In order to test the applicability and the effectiveness of this method, a case study will be proposed in the end.



中文翻译:

一种改进的改进故障分析的方法

失效模式和影响分析(FMEA)是一种有效的方法,被广泛用于管理故障和预防风险,并且由于其简单性和多功能性,因此要求使用最重要和著名的质量规范。但是,在文学作品中,有几篇著作批评了该工具,并声称它有缺点。FMEA团队成员被认为具有相同的重要性,并且计算出失败值意味着他们的判断且没有任何区别。此外,故障模式应该是独立的,并且在风险分析中忽略了它们之间关系的影响。由于认为风险因素具有同样的重要性,因此FMEA分析的准确性也会降低。在本文中,我们建议将FMEA与其他方法结合起来以克服其局限性。首先,将提出一个标准选择,以便选择最相关的因素进行风险分析。它们的权重将使用最佳最差方法(BWM)计算。其次,将计算与每个团队成员相关的权重,并将其用于获取失败值。第三,将使用设计结构方法(DSM)识别故障之间的关系并判断其重要性,我们建议通过相似性方法(FTOPSIS)将模糊技术用于优先顺序。为了测试该方法的适用性和有效性,最后将提出一个案例研究。将计算与每个团队成员相关的权重,并将其用于获取失败值。第三,将使用设计结构方法(DSM)识别故障之间的关系并判断其重要性,我们建议通过相似性方法(FTOPSIS)将模糊技术用于优先顺序。为了测试该方法的适用性和有效性,最后将提出一个案例研究。将计算与每个团队成员相关的权重,并将其用于获取失败值。第三,将使用设计结构方法(DSM)识别故障之间的关系并判断其重要性,我们建议通过相似性方法(FTOPSIS)将模糊技术用于优先顺序。为了测试该方法的适用性和有效性,最后将提出一个案例研究。

更新日期:2021-01-18
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