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System and method for process degradation problematic tool identification

机译:用于处理退化问题的工具识别的系统和方法

摘要

A method and system are provided for detecting suspect production tools, including testing produced products using a test sequence, said testing producing yield data, said yield data related to a production batch and a production process, said production process identified with a process tool. For each production process, a first data series R1 is calculated and stored, each element of said first series is the yield of a production batch divided by a baseline yield. For each production process, a second data series R2 is calculated and stored, each element of said second series is an m consecutive element moving average of R1. Also calculated and stored are a simple linear regression of R1, the standard deviations of data series R1 and R2. Lower trigger points for series R1 and R2 are calculated being 1-n standard deviations of R1 and R2 respectively for the last p or o data points. The R2 of the simple linear regression of R1 is also calculated and stored. A set of decision rules are applied to the data series for each production process to produce a list of suspect processes, wherein each rule that is matched stores a match point against said production process. The rules include, a first rule matched when r consecutive elements of series R1 are lower than said lower trigger point of series R1, a second rule matched when s consecutive elements of series R2 are lower than said lower trigger point of series R2, and a third rule matched when R2 is greater than a trigger point z. For each process tool the number of match points of said production processes identified with said tool is calculated, and a user is notified of said tools that have the most match points.
机译:提供了一种用于检测可疑生产工具的方法和系统,包括使用测试序列对生产的产品进行测试,所述测试产生了产量数据,所述与生产批次和生产过程有关的产量数据,所述生产过程由加工工具识别。对于每个生产过程,计算并存储第一数据序列R1,所述第一序列的每个元素是生产批次的产量除以基线产量。对于每个生产过程,计算并存储第二数据系列R2,所述第二系列的每个元素是R1的m个连续元素移动平均值。还计算并存储了R1的简单线性回归,数据序列R1和R2的标准偏差。对于最后的p或o个数据点,计算系列R1和R2的较低触发点分别为R1和R2的1-n标准偏差。还计算并存储R1的简单线性回归的R 2 。将一组决策规则应用于每个生产过程的数据序列,以生成可疑过程的列表,其中,每个匹配的规则都会存储与所述生产过程的匹配点。所述规则包括:当系列R1的r个连续元素低于系列R1的所述较低触发点时匹配的第一规则;当系列R2的s个连续元素低于序列R2的所述较低触发点时匹配的第二规则;以及当R 2 大于触发点z时,第三条规则匹配。对于每个处理工具,计算用所述工具识别的所述生产过程的匹配点的数量,并且向用户通知具有最大匹配点的所述工具。

著录项

  • 公开/公告号US2006168484A1

    专利类型

  • 公开/公告日2006-07-27

    原文格式PDF

  • 申请/专利权人 ENG KEONG HO;

    申请/专利号US20050538396

  • 发明设计人 ENG KEONG HO;

    申请日2003-12-31

  • 分类号G06F11;

  • 国家 US

  • 入库时间 2022-08-21 21:46:58

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