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Implementing on-line ADC and an automated yield information management system

机译:实施在线ADC和自动化的产量信息管理系统

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When a wafer fab processes a large number of different logic devices at several technology nodes simultaneously, its defect-sampling strategy at any given time must focus on two types of devices: those with the most advanced technology and those being produced in the highest volume. This diversity of data challenges automatic defect classification (ADC) systems in several ways. Not only must the ADC classifiers be portable across different device types within the same technology node, but the classification data must also be analyzed quickly and efficiently to prevent yield losses caused by defect excursions. A strong yield management program that can react to both ADC and manually classified defect data is critical to the fab's continued success.
机译:当晶圆厂在几个技术节点上同时处理大量不同的逻辑器件时,其缺陷采样策略在任何给定时间都必须集中在两种类型的器件上:技术最先进的器件和产量最高的器件。数据的多样性以多种方式挑战自动缺陷分类(ADC)系统。 ADC分类器不仅必须可在同一技术节点内的不同设备类型之间移植,而且还必须快速有效地分析分类数据,以防止由于缺陷偏移而导致良率损失。强大的良率管理程序能够对ADC和手动分类的缺陷数据做出反应,对于工厂的持续成功至关重要。

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