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首页> 外文期刊>International journal of computational intelligence systems >A Fuzzy Hybrid Approach for Fuzzy Process FMEA: An Application to a Spindle Manufacturing Process
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A Fuzzy Hybrid Approach for Fuzzy Process FMEA: An Application to a Spindle Manufacturing Process

机译:模糊过程FMEA的模糊混合方法:在主轴制造过程中的应用

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摘要

Process Failure Modes and Effects Analysis (PFMEA) concept, has been developed based on the success of Failure Modes and Effects Analysis (FMEA) to include a broader analysis team for the realization of a comprehensive analysis in a short time. The most common use of the PFMEA involves manufacturing processes as they are required to be closely examined against any unnatural deviation in the state of the process for producing products with consistent quality. In a typical FMEA, for each failure modes, three risk factors; severity (S), occurrence (O), and detectability (D) are evaluated and their multiplication derives the risk priority number (RPN). However there are many shortcomings of this classical crisp RPN calculation. This study introduces a fuzzy hybrid approach that allows experts to use linguistic variables for determining S, O, and D for PFMEA by applying fuzzy 'technique for order preference by similarity to ideal solution' (TOPSIS) and fuzzy 'analytical hierarchy process' (AHP). An application to a spindle manufacturing process expresses the relevance of the fuzzy hybrid model in PFMEA.
机译:在故障模式和效果分析(FMEA)成功的基础上,开发了过程故障模式和效果分析(PFMEA)概念,以包括更广泛的分析团队,以便在短时间内实现全面分析。 PFMEA的最常见用途涉及制造过程,因为需要对其进行仔细检查,以确保生产出质量一致的产品的过程状态中是否存在任何不自然的偏差。在典型的FMEA中,对于每种故障模式,三个风险因素;评估严重性(S),发生(O)和可检测性(D),并将它们相乘得出风险优先级数(RPN)。但是,这种经典的RPN计算存在许多缺点。这项研究引入了一种模糊混合方法,该方法允许专家使用模糊变量来确定PFMEA的S,O和D,方法是应用模糊“基于与理想解决方案相似的顺序偏好技术”(TOPSIS)和模糊“层次分析法”(AHP) )。在主轴制造过程中的应用表达了PFMEA中模糊混合模型的相关性。

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