KFAB决策现场:一个互动的,探索性的产量分析框架

A. Flores, J. Lebowitz, W. Pressnall, C. Martin, C. Bradford Hopper
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引用次数: 2

摘要

德州仪器Kilby制造中心已经实施了一个数据分析框架,通过整合多个垂直集中的分析工具和数据源的连续数据流,为产量、设备和产品工程师和管理人员提供最佳实践决策。这种数据流超越了向下钻取和OLAP技术,而是“钻取跨”域,反映了工程师自然执行探索性产量分析的方式。数据流以流程指南的形式呈现给用户,流程指南通过逐步引导用户完成数据访问、分析和协作,编纂了最佳实践分析技术。给定工艺指南的每一步都为现有的电气测试、缺陷、制造执行、晶圆位置和工艺数据的点解决方案增加了价值,而不是取代垂直应用程序和数据源。讨论了系统的体系结构,并展示了过程指南的示例,这些示例说明了表示层的交互性和框架的灵活性,以提供解决跨功能问题的最佳实践技术。
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KFAB DecisionSite: an interactive, exploratory yield analysis framework
A data analysis framework has been implemented at the Texas Instruments Kilby Fabrication Center which encourages best practice decision making for yield, equipment and product engineers and managers by incorporating a continuous data flow across multiple vertically focused analytical tools and data sources. This data flow moves beyond drill down and OLAP techniques to "drill across" domains and mirror the way engineers naturally perform exploratory yield analysis. The data flow is presented to users in the form of Process Guides, which codify best practice analysis techniques by stepping the user through data access, analysis and collaboration. Rather than replacing vertical applications and data sources, each step of a given process guide adds value to existing point solutions for electrical test, defect, manufacturing execution, wafer position and process data. The architecture of the system is discussed, and examples of Process Guides are shown which illustrate the interactivity of the presentation layer and the flexibility of the framework to deliver best practice techniques for solving cross functional problems.
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