基于最小质量损失的多工序质量控制研究

Chun Chen, Liping Zhao, Yiyong Yao
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引用次数: 0

摘要

针对产品制造过程中多工序之间相互影响和质量控制优化的问题,建立了基于两种质量的前工序与后工序之间的质量传递模型。通过对该模型的分析计算,对后续工序的部分质量进行定量分析,从而在不受前期影响的情况下实施后续工序的质量控制。采用Duncan成本模型和田口质量损失函数,建立了多工况质量损失模型。损失模型从整体优化的角度考虑了产品制造过程中多个工序的质量损失。在分析模型的基础上,采用网格搜索方法,以质量损失最小为优化目标,实现控制图的最优设计。然后确定多工序质量控制的样本量、连续样本间的抽样间隔和图的控制极限系数。最后,以净化器制造过程中的涂装操作为例,对该模型进行了分析,结果表明该模型在降低制造成本和保证产品质量方面是有效的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of Multi-operation Quality Control based on Minimum Quality Loss
Aiming at the problem of mutual influence between multi-operation and the optimization of quality control in product manufacturing process, quality transfer model between the preceding operation and the succeeding operation is established based on two kinds of quality. Partial quality of the succeeding operation is analyzed quantitatively through analysis and calculation of this model, so that quality control in the succeeding operation is implemented without the preceding influence. And quality loss model of multi-operation is introduced using Duncan cost model and Taguchi quality loss function. The loss model takes into account quality loss of multi-operation in product manufacturing process from the point of view of overall optimization. Based on analysis of the model, grid-search approach is applied and minimum quality loss is calculated as optimization objective so that control chart is designed optimally. Then the sample size, the sampling interval between successive samples, and the control limit coefficients of the chart are determined for multi-operation quality control. Finally, the model is analyzed by an instance of coating operation in purifier manufacturing process, and the result shows that the model is effective on reducing the manufacturing cost and guaranteeing the product quality
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