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    • 4. 发明申请
    • TOOL COMMONALITY AND STRATIFICATION ANALYSIS TO ENHANCE A PRODUCTION PROCESS
    • 工具共同和分析分析,以提高生产过程
    • US20110077765A1
    • 2011-03-31
    • US12568083
    • 2009-09-28
    • James RiceDustin K. SlisherYunsheng Song
    • James RiceDustin K. SlisherYunsheng Song
    • G06F19/00
    • G05B23/0294
    • A method of analyzing production steps includes inputting application data associated with a production process having a plurality of process steps into a memory with each of the plurality of process steps including a plurality of tools. The method also includes loading process data associated with one of the plurality of process steps into the memory, performing a tool commonality analysis on each of the tools associated with the at least one of the plurality of process steps, identifying all tool-to-tool differences for the at least one of the plurality of process steps, performing a tool stratification analysis to identify one of the plurality of tools that provides the largest variance contribution to the at least one of the plurality of process steps, and stopping the one of the plurality of tools that provides the largest variance contribution to the at least one of the plurality of process steps.
    • 分析生产步骤的方法包括将与具有多个处理步骤的生产过程相关联的应用数据输入存储器,其中多个处理步骤中的每一个包括多个工具。 该方法还包括将与多个处理步骤之一相关联的过程数据加载到存储器中,对与多个处理步骤中的至少一个相关联的每个工具执行工具共性分析,识别所有工具对工具 对于所述多个处理步骤中的至少一个处理步骤的差异,执行工具分层分析以识别为所述多个处理步骤中的至少一个处理步骤提供最大变化贡献的所述多个工具之一,并且停止 多个工具,其对多个处理步骤中的至少一个提供最大的方差贡献。
    • 5. 发明授权
    • Method of adaptively selecting chips for reducing in-line testing in a semiconductor manufacturing line
    • 自适应选择芯片以减少半导体生产线中的在线测试的方法
    • US07682842B2
    • 2010-03-23
    • US12129712
    • 2008-05-30
    • Rao H. DesineniXu OuyangHargurpreet SinghYunsheng SongStephen Wu
    • Rao H. DesineniXu OuyangHargurpreet SinghYunsheng SongStephen Wu
    • H01L21/00
    • G01R31/2894
    • A method for identifying potentially defective integrated circuit chips and excluding them from future testing as wafers move through a manufacturing line The method includes data-collecting steps, tagging the chips on wafers identified as potentially bad chips based on information collected as the wafer moves down the fabrication line, evaluating test cost savings by eliminating any further tests on the tagged chips preferably using a test cost database. Considering all the future tests to be preformed, the tagged chips are skipped if it is determined that the test cost saving is significant. Tagging bad chips is based on various criteria and models which are dynamically adjusted by performing the wafer final test on samples of the tagged chips and feeding-back the final test results. The dynamic adaptive adjustment method preferably includes a feedback loop or iterative process to evaluate financial tradeoffs when assessing the profit of salvaging chips against the additional test costs.
    • 一种用于识别潜在有缺陷的集成电路芯片的方法,并将其从将来的测试中排除,因为晶片移动通过生产线。该方法包括数据收集步骤,基于当晶片向下移动时收集的信息将标记为潜在的坏芯片的晶片上的芯片标记 通过消除对标记芯片的任何进一步测试,优选使用测试成本数据库来评估测试成本节省。 考虑到将要执行的所有将来的测试,如果确定测试成本节省是重要的,则标记的芯片被跳过。 标记坏芯片是基于各种标准和模型,通过对标记芯片的样品进行晶圆最终测试并反馈最终测试结果来动态调整。 动态自适应调整方法优选地包括反馈循环或迭代过程,以在评估补救筹码的利润与额外的测试成本时评估金融权衡。