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Systems of multiple cluster tools: configuration and performanceunder perfect reliability

机译:多集群工具系统:完美可靠性下的配置和性能

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摘要

By extrapolating technological trends, one can expect future fabsnto consist largely of highly reliable cluster tools. Such trends raisenthe issues of how cluster tools should be configured (i.e., how modulesnshould be grouped together), and the impact of configuration on optimalnlot size. This paper generates equation-based models to compare thenthroughput and cycle time of different systems that perform the samensequence of process steps, with the same total number of modules groupednin different ways into multiple cluster tools. The two extremes of thenspectrum of possible cluster tool configurations are considered: thenserial configuration, in which a wafer visits each module in the clusterntool, and the parallel configuration, in which all of the modules in thencluster tool are identical. The models predict the following for typicalncluster tool parameters and process times. When all process step timesnare identical, systems of serial-configured tools can achieve the samenthroughputs with lower cycle times, as their parallel-configuredncounterparts. However, if process times in the sequence significantlyndiffer from one another, then systems of parallel-configured tools maynachieve lower cycle times than their serial-configured counterparts atnhigh throughputs. Finally, the serial configuration significantlynreduces the lot size required to achieve total throughput capacity
机译:通过推断技术趋势,可以预期未来的fabsnto将主要由高度可靠的集群工具组成。这种趋势引起了以下问题:应如何配置群集工具(即,应如何将模块分组在一起)以及配置对最佳插槽大小的影响。本文生成了基于方程的模型,以比较执行相同工艺步骤的不同系统的通量和循环时间,其中相同总数的模块以不同的方式组合到多个群集工具中。考虑了可能的群集工具配置的频谱的两个极端:串行配置(其中晶圆访问群集工具中的每个模块)和并行配置(其中群集工具中的所有模块都相同)。这些模型针对典型的群集工具参数和处理时间预测以下内容。当所有处理步骤的时间都相同时,串行配置工具的系统与并行配置的对等部件相比,可以以较短的周期时间实现相同的吞吐量。但是,如果序列中的处理时间彼此之间明显不同,那么在高吞吐量下,并行配置工具系统的周期时间可能比串行配置工具的周期时间短。最后,串行配置大大减少了实现总吞吐能力所需的批量

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