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Yield improvement via automatic analysis of wafer-processing order

机译:通过自动分析晶圆加工订单来提高产量

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Abstract: Manufacturing tools may process wafers in differentfashions: by group of lots, by lot, by group of wafers,one- by-one in single or multichamber tools,... Theorder sequence in which wafers are processed in a givenstep of the manufacturing routing can be used as avaluable source for yield improvement. Within thisscope we published on SPIE's 1996 MicroelectronicManufacturing an Advanced Software System to correlateorder-sequences versus any yield related metric. Sincethen we have developed a new generation of Softwarenamed POSISCAN which automates the analysis anddetection of 'order patterns', that is, footprints ofthe yield being impacted by the order in which thewafers were processed in a specific tool. Yielddegradation induced on each process can have a kind offootprint. We have accumulated a wealth of thesefootprints and developed a very fine knowledge-basedalgorithm to automatically detect them on every lot.The effectiveness of this automated POSISCAN tool isremarkably high and is having a big impact on time todetection/analysis/root-cause of yield loss. !11
机译:摘要:制造工具可能以不同的方式处理晶片:按批,按批,按晶片组,在单腔或多腔工具中一对一地......在制造的给定步骤中处理晶片的顺序布线可以用作提高产量的重要来源。在此范围内,我们在SPIE的1996年微电子制造上发表了将高级序列与任何与产量相关的度量相关的高级软件系统。从那时起,我们开发了名为POSISCAN的新一代软件,该软件可以自动分析和检测“订单模式”,即,产量的占用量受到在特定工具中加工晶片的顺序的影响。在每个过程中引起的产量下降都会产生一种足迹。我们已经积累了很多此类足迹,并开发了非常好的基于知识的算法来自动检测每批货物。这种自动化的POSISCAN工具的有效性非常高,并且对检测/分析/产量损失的根本原因产生了重大影响。 !11

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