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Identifying the Period of a Step Change in High- Yield Processes

机译:确定高产量过程中步骤更改的周期

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Quality control charts have proven to be very effective in detecting out-of-control states. When a signal is detected a search begins to identify and eliminate the source(s) of the signal. A critical issue that keeps the mind of the process engineer busy at this point is determining the time when the process first changed. Knowing when the process first changed can assist process engineers to focus efforts effectively on eliminating the source(s) of the signal. The time when a change in the process takes place is referred to as the change point. This paper provides an estimator for a period of time in which a step change in the process non-conformity proportion in high-yield processes occurs. In such processes, the number of items until the occurrence of the first non-conforming item can be modeled by a geometric distribution. The performance of the proposed model is investigated through several numerical examples. The results indicate that the proposed estimator provides a reasonable estimate for the period when the step change occurred at the process non-conformity level.
机译:事实证明,质量控制图对于检测失控状态非常有效。当检测到信号时,搜索开始识别并消除信号源。此时,使流程工程师忙碌的一个关键问题是确定流程首次更改的时间。知道何时首次更改流程可以帮助流程工程师将精力集中在消除信号源上。在过程中发生更改的时间称为更改点。本文提供了一段时间内的估计量,其中高产量过程中过程不合格比例发生阶跃变化。在这样的过程中,可以通过几何分布来模拟直到出现第一不合格品为止的物品数量。通过几个数值示例研究了所提出模型的性能。结果表明,所提出的估计器可为过程不合格级别上发生阶跃变化的期间提供合理的估计。

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