Beyond DFM: when manufacturability has to be guaranteed by design

D. Potts, T. Luk
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Abstract

Designers and test engineers are increasingly being challenged to introduce new high performance products within ever tightening tolerance windows. Traditional production test solutions may not be able to deliver the required accuracy to guarantee performance by test without additional and often prohibitive investments in extreme high-end test systems. In order to maintain a reasonable cost of manufacturing, it is not sufficient that these parts be designed for manufacturability-they must be guaranteed by design. To be considered guaranteed by design, one needs to have the utmost confidence in their design for manufacturability system and particularly in the accuracy of their simulations. This paper describes multivariate analysis techniques, leveraging electrical test data on the process level, to accurately model the statistical variation of the process as well as provide the means for evaluating where any given ET sample falls within that distribution for validating simulations against actual measured performance data. A case study drawn from a recent product introduction in a 0.35 /spl mu/m CMOS technology is used for demonstration.
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超越DFM:当可制造性必须通过设计来保证时
设计师和测试工程师面临的挑战越来越大,他们必须在越来越严格的公差范围内推出新的高性能产品。传统的生产测试解决方案可能无法提供所需的准确性,以保证测试的性能,如果没有额外的,通常是令人望而却步的投资在极端的高端测试系统。为了保持合理的制造成本,这些部件仅仅设计为可制造性是不够的——它们必须通过设计来保证。要被认为是设计的保证,一个人需要对他们的可制造性系统的设计有最大的信心,特别是对他们的模拟的准确性。本文描述了多变量分析技术,利用过程级的电气测试数据,准确地模拟过程的统计变化,并提供了评估任何给定ET样本在该分布中的位置的方法,以便根据实际测量的性能数据验证模拟。从最近的0.35 /spl mu/m CMOS技术的产品介绍中提取的案例研究用于演示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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