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Reliability-oriented Complexity Analysis of Manufacturing Systems Based on Fuzzy Axiomatic Domain Mapping

机译:基于模糊公理域映射的制造系统可靠性可靠性复杂度分析

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摘要

Decreasing the complexity is the effective way to improve the reliability of manufacturing systems. However, the research on the reliability oriented complexity analysis for manufacturing system is rare. A reliable manufacturing system is a prerequisite to ensure the well-designed products be manufactured faultlessly. In this context, this paper proposes an axiomatic complexity analysis model of manufacturing system based on the fuzzy axiomatic domain mapping. Firstly, in terms of the uncertainty of domain mapping information, the fuzzy evaluation matrix for complexity which integrated the weights of experts is constructed based on triangular fuzzy numbers. Secondly, considering the influence of the design parameters (DPs) on the functional requirements (FRs), a quantitative computation approach to manufacturing system complexity is achieved by means of fuzzy evaluation matrix. Finally, a case study is presented to illustrate the validity of the proposed method.
机译:降低复杂度是提高制造系统可靠性的有效方法。但是,针对制造系统的面向可靠性的复杂度分析的研究很少。可靠的生产系统是确保精心设计的产品能够完美生产的前提。在此背景下,本文提出了一种基于模糊公理域映射的制造系统公理复杂度分析模型。首先,根据域映射信息的不确定性,基于三角模糊数构造了综合专家权重的模糊性评价矩阵。其次,考虑设计参数(DPs)对功能需求(FRs)的影响,利用模糊评价矩阵实现了制造系统复杂度的定量计算方法。最后,通过案例研究说明了该方法的有效性。

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