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Evaluating the performance of look-ahead policies for upstream serial processor with downstream batch processor serving incompatible job families and finite buffer sizes

机译:评估上游串行处理器和下游批处理处理器为不兼容的作业系列和有限的缓冲区大小提供服务的前瞻策略的性能

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摘要

Batch processors can concurrently process more than one job. In wafer fabrication, the processing time of a batch is independent of batch size, and only jobs from the same job family can be batched together. We consider a two-stage subsystem of a wafer fabrication facility (wafer fab), comprised of the diffusion furnace (a batch processor) and its upstream serial processor, with random job arrivals. We hypothesise that allowing the serial processor to anticipate the job family preference of the batch processor will reduce the overall cycle time of jobs passing through this system. To evaluate this hypothesis, we model the performance of the two-stage system under different system parameters and processor control policies as discrete state continuous time Markov chains. We characterise the system performance and show that the concept of constraining the production of the upstream processor according to the anticipated needs of the batch processor can reduce the mean cycle time of jobs being processed. We also perform simulation experiments to show that a simple heuristic based on this insight can translate to substantial cycle time reductions for systems with assumptions closer to those found in wafer fabs.
机译:批处理程序可以同时处理多个任务。在晶圆制造中,批次的处理时间与批次大小无关,并且只能将来自同一作业族的作业一起批次处理。我们考虑了晶圆制造厂(晶圆厂)的两级子系统,该子系统由扩散炉(批处理机)及其上游串行处理器组成,具有随机作业到达时间。我们假设允许串行处理器预测批处理处理器的作业系列偏好将减少通过该系统的作业的总周期时间。为了评估该假设,我们将两阶段系统在不同系统参数和处理器控制策略下的性能建模为离散状态连续时间马尔可夫链。我们对系统性能进行了表征,并表明根据批处理器的预期需求限制上游处理器的生产的概念可以减少正在处理的作业的平均周期时间。我们还进行了仿真实验,表明基于这种洞察力的简单启发式分析可以使系统的周期时间大大减少,其假设更接近于晶圆厂中的假设。

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