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On the accuracy of analytic approximations for the mean cycle time in semiconductor manufacturing equipment with PM events

机译:关于PM事件半导体制造设备平均循环时间分析近似的准确性

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Preventive Maintenance activities (PMs) are essential for semiconductor manufacturing equipment. Since PMs are typically non-preemptive, they are usually modeled as high priority customers. We examine the accuracy of a popular approximation for the mean cycle time in G/G/1 queues with high priority PM customers. This approximation follows Kingman's and is based on a heavy traffic assumption. We observe that the approximations can perform very poorly when the mean and coefficient of variation of the PM durations are large and small, respectively. This is precisely the practical case for PMs in semiconductor manufacturing. We propose two practical correction candidates and assess their effectiveness. SPECIAL SESSION CODE = 4yd3b.
机译:预防性维护活动(PMS)对于半导体制造设备至关重要。由于PM通常是非抢先的,因此它们通常被建模为高优先级客户。我们在高优先级的PM客户中检查G / G / 1队列中平均循环时间的流行近似的准确性。这种近似遵循Kingman的并且基于繁忙的交通假设。我们观察到,当PM持续时间的均值和变化的平均值和较小的均值和小时,近似度可以非常差。这正是半导体制造中PMS的实际情况。我们提出了两项​​实际的纠正候选人并评估其有效性。特殊会话代码= 4YD3B。

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