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Mean cycle time approximations for G/G/m queueing networks using decomposition without aggregation with application to fab datasets

机译:使用分解而不聚合的G / G / m排队网络的平均周期时间近似,并应用于fab数据集

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The modern semiconductor fabricator needs both accurate and fast cycle time (CT) forecasts. Due to complexity of development and computational intractability, simulation may be supplemented by queueing network methods. In this paper, we develop extensions to approximation methods for queueing networks that are suited for fab modeling using decomposition without aggregation. We conduct simulation experiments based on a semiconductor industry-inspired dataset. For sensitivity analysis, we mainly focus on the interarrival distribution, service time distributions, and bottleneck toolset loading. The results show that the approximations predict the total CT fairly well in various cases.
机译:现代半导体制造商既需要准确又需要快速的周期时间(CT)预测。由于开发的复杂性和计算上的困难性,可以通过排队网络方法来补充仿真。在本文中,我们开发了排队网络的近似方法的扩展,该方法适合于使用无聚合分解的Fab模型建模。我们基于半导体行业启发的数据集进行仿真实验。对于敏感性分析,我们主要关注到达间隔分布,服务时间分布和瓶颈工具集加载。结果表明,在各种情况下,这些近似值可以很好地预测总CT。

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