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Quality Cost Optimization Problems Research Based on the Operating Station with Winning Machine

机译:基于取款机操作站的质量成本优化问题研究

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Based on the quality level requirements of coal mining enterprises for winning machine products, this paper studied the relationship between reliability and quality cost, according to the combination of fuzzy neural network and genetic algorithm established the quality cost optimization model. The case of the operating station with winning machine shows that the optimization model has the advantages of rapid searching, high accuracy, effective and brings the economic benefits for the enterprise.
机译:根据煤矿企业对中标机械产品的质量水平要求,研究了可靠性与质量成本之间的关系,根据模糊神经网络和遗传算法相结合,建立了质量成本优化模型。以中标机操作站为例,表明该优化模型具有搜索速度快,精度高,有效的优点,为企业带来了经济效益。

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