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Optimal adjustment strategies for a process with run-to-run variation and 0-1 quality loss

机译:具有批次间差异和0-1质量损失的过程的最佳调整策略

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摘要

As short run manufacturing becomes more prevalent, run-to-run components of variation, such as that contributed by set-up error, have greater potential to crucially affect product quality. While efforts should be made to eliminate such between-run variance contributing factors, some will always be present. Here, we assume there is one such factor which we envisage as set-up error that, unless the process is adjusted, remains fixed throughout a run. We develop a single adjustment strategy based on taking a sample of fixed size from the process. If a significant set-up error is indicated, a single compensatory adjustment, equal to the predicted process offset, is executed. The Actual procedure depends on process parameters, including adjustment error, run size, and adjustment and sampling costs.
机译:随着短期制造变得越来越普遍,逐次变化的组成部分(例如由设置错误引起的变化)具有更大的潜力来严重影响产品质量。尽管应努力消除这种运行间方差的影响因素,但总会存在一些因素。在这里,我们假设存在一个我们认为是设置错误的因素,除非对过程进行调整,否则在整个运行过程中都将保持不变。我们基于从流程中获取固定大小的样本来制定单一调整策略。如果显示出明显的设置误差,则执行等于预测过程偏移的单个补偿性调整。实际程序取决于过程参数,包括调整误差,运行大小以及调整和采样成本。

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