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Identifying Root Cause of Systemic Yield Loss Using Model-based Yield Analysis - (PPT)

机译:基于模型的收益率分析识别系统产量损失的根本原因 - (PPT)

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In modern semiconductor fabs, final yield can be affected by many factors. From bare wafer to final packaging, hundreds of process steps are involved and each and every process or tool may impact the final yield. Statistical process control (SPC) has been used extensively for monitoring process health and identifying out-of-control parameters. Due to the multiple-vitiate nature of modern processes, however, process deviations have different impact on the final yield. Even processes that are within traditional SPC control limit may suffer yield loses that are caused by the interaction between different process aspects. In such cases, traditional yield analysis techniques such as SPC are not sufficient. We introduce in this paper a model-based technique that offers more accurate root cause analysis.
机译:在现代半导体Fab上,最终产量可能受到许多因素的影响。从裸晶片到最终包装,涉及数百个过程步骤,每个过程或工具可能会影响最终产量。统计过程控制(SPC)已广泛用于监控过程健康并识别对照参数。然而,由于现代过程的多重毒品性质,过程偏差对最终产量产生了不同的影响。甚至在传统的SPC控制限制内的过程也可能遭受由不同过程方面之间的相互作用引起的产量失去。在这种情况下,传统的产量分析技术,例如SPC不足。我们在本文中介绍了一种基于模型的技术,提供了更准确的根本原因分析。

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