An improved reliability model for FMEA using probabilistic linguistic term sets and TODIM method
An improved reliability model for FMEA using probabilistic linguistic term sets and TODIM method
复制标题
使用概率语言术语集和 TODIM 方法改进 FMEA 可靠性模型
DOI：
10.1007/s10479-019-03447-0
复制
发表时间：
2019-12-10
影响因子：
4.8
通讯作者：
Song, Ming-Shun
中科院分区：
文献类型：
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作者：
Huang, Jia;Liu, Hu-Chen;Song, Ming-Shun
故障模式和影响分析 (FMEA) 是一种主动可靠性分析模型，广泛用于识别和评估各个行业的潜在故障模式。然而，普通风险优先数（RPN）方法受到了很多批评，例如需要精确的风险估计、计算RPN缺乏科学依据、忽略风险因素的权重等。因此，本文设计了一种新的FMEA模型，通过集成概率语言术语集和TODIM（葡萄牙语交互式多标准决策的缩写）方法来评估和优先考虑失效模式的风险。概率语言术语集用于处理 FMEA 团队成员风险评估中存在的内在模糊性，同时采用扩展的 TODIM 方法来确定个别故障模式的优先级排序。进一步，基于理想解相似度排序技术（TOPSIS），提出了一种客观赋权方法来推导风险因素的相对权重。最后，实现了两个说明性示例，并与其他现有方法进行比较，以证明我们提出的 FMEA 模型的合理性和优越性。
Failure mode and effects analysis (FMEA) is known to be a proactive reliability analysis model broadly utilized to recognize and evaluate potential failure modes in various industries. The normal risk priority number (RPN) method, however, has suffers from a lot of criticisms, such as requirement of precise risk estimation, lack of scientific basis in computing RPN, and neglecting the weights of risk factors. Therefore, this paper devises a new FMEA model to evaluate and prioritize the risk of failure modes by integrating probabilistic linguistic term sets and TODIM (an acronym in Portuguese for interactive multi-criteria decision making) method. The probabilistic linguistic term sets are utilized to handle the intrinsic ambiguity existed in the risk assessments of FMEA team members, whilst an extended TODIM method is employed for determining the priority ranking of the individuated failure modes. Further, based on the technique for order of preference by similarity to ideal solution (TOPSIS), an objective weighting method is presented to derive the relative weights of risk factors. Finally, two illustrative examples are implemented and comparisons with other existing methods are performed to demonstrate the rationality and superiority of our proposed FMEA model.