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Using queueing curve approximations in a fab to determine productivity improvements

机译:在晶圆厂中使用排队曲线近似值来确定生产率的提高

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Fabs are under great pressure to produce more output with the same equipment set. However, if throughput is increased without productivity improvements, cycle time will naturally rise. Texas Instruments Incorporated is using a queueing curve approximation in order to determine a particular machine set's productivity improvements over time regardless of fab loadings. By measuring the machine set's monthly average throughput and cycle time, a fab can determine if true improvements have been made and also determine how much cycle time would increase or decrease with loadings. In order to have widespread use in fabs, a particular formula should be relatively simple and easy to use. We will discuss a queueing curve approximation and how it can be used in the fabs. We will also discuss its accuracy both under ideal conditions and conditions of data that are insufficient and/or rough approximations. Other formulation problems such as machine or lot dedication (one queue per machine versus one queue to all machines), various arrival/service time distributions and percentage improvement determination are also addressed.
机译:晶圆厂承受着巨大的压力,需要使用相同的设备来产生更多的产出。但是,如果在不提高生产率的情况下增加了吞吐量,则周期时间自然会增加。德州仪器(TI)使用排队曲线逼近法来确定特定机器组的生产率随时间的增长情况,而与晶圆厂的负荷无关。通过测量机器的每月平均吞吐量和周期时间,晶圆厂可以确定是否已经进行了真正的改进,还可以确定随着负载增加或减少多少周期时间。为了在晶圆厂中广泛使用,特定的配方应相对简单易用。我们将讨论排队曲线近似及其在晶圆厂中的使用方法。我们还将讨论其在理想条件下以及数据不足和/或近似的条件下的准确性。还解决了其他配方问题,例如机器或批次的专用性(每台机器一个队列,而所有机器一个队列),各种到达/服务时间分配以及百分比改进确定。

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