管理产量趋势模型的关键区域和缺陷数据

S. Barberan, F. Duvivier
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引用次数: 8

摘要

本文报道了一个应用于ST Crolles工厂0.35微米工艺测量的大量缺陷数据和通过调查抽样提取的关键区域的良率模型。它考虑了在主要工艺步骤中测量的所有缺陷密度,并确定了它们各自的良率损失。在两个大批量设备的三个月生产中,每周都对模型的稳健性进行测试。然后将该模型应用于一个新的工艺版本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Management of critical areas and defectivity data for yield trend modeling
This paper reports a yield model applied to a large set of defectivity data measured on a 0.35 micron process in ST Crolles plant and critical areas extracted by survey sampling. It takes into account all defect densities measured at the main process steps and determines their respective yield loss. The robustness of the model was tested week by week during three months of production for two high volume devices. The model was then applied wafer by wafer on a new process version.
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