Advanced yield enhancement: computer-based spatial pattern analysis. Part 1

F. Lee, A. Chatterjee, D. Croley
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引用次数: 16

Abstract

Wafer-level defect distributions and yield patterns are a significant source of information about the performance of a manufacturing line. Computer-based techniques are ideal for pattern analysis because they provide the ability to quickly perform systematic, repetitive analyses on large data sets. The development of algorithms for computer-based spatial pattern analysis are described and initial test results are presented. Integration of automated spatial pattern analysis into the manufacturing process is discussed.
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先进的产量提高:基于计算机的空间格局分析。第1部分
晶圆级缺陷分布和良率模式是有关生产线性能的重要信息来源。基于计算机的技术是模式分析的理想选择,因为它们提供了对大型数据集快速执行系统、重复分析的能力。描述了基于计算机的空间格局分析算法的发展,并给出了初步的测试结果。讨论了自动化空间模式分析在制造过程中的集成。
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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Production use of an integrated automatic defect classification (ADC) system operating in a laser confocal/white light imaging defect review station Strategic alliances for equipment reliability improvement in a dynamic startup environment 16 M DRAM manufacturing cooperation IBM/SIEMENS in Corbeil Essonnes in France Semiconductor factory automation: designing for phased automation Yield risk cards at D2
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