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Analysis of a Wafer Overlay Projection Algorithm for use in Lot Disposition

机译:批次覆盖投影算法的分析

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The decision to rework a wafer, or a batch of wafers, is based on the expectation that the resulting quality of the reprocessed wafers will be better and produce higher yield. For lot disposition specific to layer-to-layer registration, the decision criteria are generally based on a comparison of recorded overlay errors to tolerances or specifications established during design of the device. In most fabrication facilities the mean and standard deviations of the measured overlay is used to monitor the lithography process and the "Mean + 3 Sigma" parameter used as an estimation of the maximum registration error. However, this procedure is conservative and typically overestimates the maximum error, potentially resulting in excess rework. In this paper a novel approach to lot dispositioning is outlined and analyzed. With this procedure the wafers are measured using a standard sampling map, the systematic grid and field errors modeled and residuals resolved. The systematic errors are then projected over the wafer to each die location, establishing a registration offset for each device. Random errors are estimated by applying the distribution of residual data to each of the projected error vectors. This creates a distribution of possible registration errors for each device within the wafer and a comparison of these to product specifications is used to develop a probability assessment whether each die will meet process overlay requirements. This procedure is supported by a commercially ava ilable software package developed by itemic, AG and based on 3 months of production data, the effectiveness of this disposition criterion on prediction of wafer yield, will be presented. As this technique models the systematic errors and projects them across each wafer it can be extended to prediction of the best achievable overlay if wafers were reworked. This "corrected" analysis is then used as a gauge in determining if reworking makes sense, reducing rework cycles of problem lots with non-correctable errors such as those with wafer warpage.
机译:返工晶圆或一批晶片的决定是基于预期后处理晶片的质量更好并产生更高的产量。对于特定于层到层登记的批次配置,判定标准通常基于记录的覆盖误差与在设备设计期间建立的公差或规范的比较。在大多数制造设施中,测量的覆盖层的平均值和标准偏差用于监测光刻过程和用作最大登记误差的估计的“平均+ 3 sigma”参数。但是,该过程是保守的,通常高估最大误差,可能导致返工过多。本文概述并分析了一种新的批次性分散方法。使用此过程,使用标准采样图测量晶片,系统网格和现场错误和已解决的残差。然后将系统误差投射到每个模具位置,建立每个设备的注册偏移。通过将剩余数据分发到每个投影错误向量来估计随机误差。这为晶片内的每个设备产生了可能的登记误差的分布,并且这些对产品规范的比较用于开发每个模具是否会满足过程覆盖要求的概率评估。该程序由题目,AG开发的商业化AVA ILAble软件包支持,并基于3个月的生产数据,呈现该处置标准对晶片产量预测的有效性。由于该技术模拟系统错误并将它们突出到每个晶片上,如果晶圆重新加工,则可以扩展到预测最佳可实现的覆盖物。然后将这种“校正”分析用作仪表在确定是否重新加工时是有意义的,用诸如具有晶片翘曲的不可纠正误差来减少问题批次的返工周期。

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