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首页> 外文期刊>International Journal of Computer Integrated Manufacturing >Failure modes and effects analysis using integrated weight-based fuzzy TOPSIS
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Failure modes and effects analysis using integrated weight-based fuzzy TOPSIS

机译：使用基于集成权重的模糊TOPSIS的失效模式和影响分析

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摘要

Failure mode and effect analysis (FMEA) technique has been extensively used as a powerful tool for identifying and assessing potential failures in different phases of the product life cycle. However, the conventional FMEA has been criticised much for its deficiencies in measurement scale, computation of risk priority numbers (RPN), risk factors' weights, etc. In this work, the authors propose a more reasonable failure evaluation structure using fuzzy weighted Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). To fully reflect the importance of risk factors severity (S), occurrence (O) and detection (D), the authors consider integrating both subjective weights and objective weights, which is not presented in literature before, avoid failure modes from being underestimated or overestimated. For ranking fuzzy TOPSIS is adopted to get the closeness coefficient for each failure mode. Then, all failure modes can be ranked according to the closeness coefficients. A case of nuclear reheat valve system is provided to illustrate the applications and benefits of proposed FMEA method.
机译：故障模式和影响分析（FMEA）技术已被广泛用作一种强大的工具，用于识别和评估产品生命周期不同阶段中的潜在故障。然而，传统的FMEA因其测量规模，风险优先级数（RPN）的计算，风险因素的权重等方面的缺陷而备受批评。在这项工作中，作者提出了一种使用模糊加权技术的更合理的故障评估结构类似于理想解决方案（TOPSIS）的顺序偏好。为了充分反映风险因素严重性（S），发生（O）和检测（D）的重要性，作者考虑将主观权重和客观权重进行整合，而这在以前的文献中都没有介绍过，以避免失败模式被低估或高估。 。为了进行排名，采用模糊TOPSIS来获得每种失效模式的接近系数。然后，可以根据接近系数对所有故障模式进行排序。以核再热阀系统为例，说明了所提出的FMEA方法的应用和优点。

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