Abstract

The effective identification of critical failure modes of individual equipment components or processes and the development of plans for improvement are crucial for the manufacturing industry. Recently, the failure modes and effects analysis (FMEA) approach based on multiple criteria decision making (MCDM) has been utilized effectively for the assessment of primary failure modes and risks. However, the ranking results of failure modes produced by different MCDM methods might be different. This study proposes an integrated risk assessment model where several techniques are combined to produce an FMEA model for the generation of comprehensive failure mode ranking. First, the anticipated costs and environmental protection indicators are included in the FMEA model to enhance the comprehensiveness of assessment. Then, an influential network relationship map of risk factors is obtained by using the decision-making trial and evaluation laboratory (DEMATEL) technique to assist in identifying the critical factors. Finally, the ranking of the failure modes is identified using the four integrated MCDM methods, based on the technique for order preference by similarity to ideal solution (TOPSIS) concept. In addition, data from a machine tool manufacturing company survey are applied to demonstrate the effectiveness and robustness of the proposed model.

中文翻译：

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基于混合MCDM的FMEA模型，用于识别制造中的关键故障模式

摘要

有效识别单个设备组件或过程的关键故障模式以及制定改进计划对于制造业至关重要。近年来，基于多准则决策（MCDM）的故障模式和影响分析（FMEA）方法已被有效地用于评估主要故障模式和风险。但是，由不同的MCDM方法产生的故障模式的排名结果可能会有所不同。这项研究提出了一个综合的风险评估模型，其中将几种技术结合起来以生成FMEA模型，以生成综合故障模式排名。首先，FMEA模型中包含了预期成本和环境保护指标，以提高评估的综合性。然后，通过使用决策试验和评估实验室（DEMATEL）技术来帮助确定关键因素，获得了有影响力的风险因素网络关系图。最后，基于与理想解决方案（TOPSIS）概念相似的顺序优先技术，使用四种集成的MCDM方法确定故障模式的等级。此外，来自机床制造公司的调查数据被用于证明所提出模型的有效性和鲁棒性。基于与理想解决方案（TOPSIS）概念相似的订单偏好技术。此外，来自机床制造公司的调查数据被用于证明所提出模型的有效性和鲁棒性。基于与理想解决方案（TOPSIS）概念相似的订单偏好技术。此外，来自机床制造公司的调查数据被用于证明所提出模型的有效性和鲁棒性。