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Clustering for prediction models in process control and for optimal dispatching

机译:聚类用于过程控制中的预测模型和最佳调度

摘要

A first embodiment is a method for semiconductor process control comprising clustering processing tools of a processing stage into a tool cluster based on processing data and forming a prediction model for processing a semiconductor wafer based on the tool cluster. A second embodiment is a method for semiconductor process control comprising providing cluster routes between first stage tool clusters and second stage tool clusters, assigning a comparative optimization ranking to each cluster route, and scheduling processing of wafers. The comparative optimization ranking identifies comparatively which cluster routes provide for high wafer processing uniformity. Further, wafers that require high wafer processing uniformity are scheduled to be processed along one cluster route that has a high comparative optimization ranking that identifies the one cluster route to have a highest wafer processing uniformity, and wafers that do not require high wafer processing uniformity are scheduled to be processed along another cluster route.
机译:第一实施例是一种用于半导体过程控制的方法,该方法包括:基于处理数据将处理阶段的处理工具聚类为工具集群,并且基于该工具集群形成用于处理半导体晶片的预测模型。第二实施例是一种用于半导体过程控制的方法,该方法包括:在第一阶段工具集群和第二阶段工具集群之间提供集群路径,为每个集群路径分配比较优化等级,以及调度晶片的处理。比较优化排名比较地确定了哪些群集路径可提供高晶圆处理均匀性。此外,要求高晶片处理均匀性的晶片被安排为沿着具有较高的比较优化等级的一个集群路径进行处理,该比较优化等级确定一个集群路径具有最高的晶片处理均匀性,并且不需要高晶片处理均匀性的晶片为计划沿着另一个群集路由进行处理。

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