集成基于web的体系结构,用于相关工程数据分析和决策支持

N. Tandon, D. Cleverdon, B. Hinshaw
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引用次数: 1

摘要

在技术周期频繁变化的动态环境中,半导体制造公司努力快速优化流程,以提高在工厂中同时设计和加工的无数器件类型的产量。在硅加工过程中,通常会收集大量的工艺和测试数据,并使用计算机化工具提取和分析工程数据以支持决策。利用Spotfire DecisionSite/spl交易/框架的基于web的集成架构已经在德州仪器(TI)的Kilby中心(KFAB)实施,用于工程数据分析。已建立的基础设施不仅仅为最终用户提供对不同数据集的访问,还通过促进跨多个复杂数据仓库的数据合并和相关分析,提供了巨大的价值。使用这些相关技术的便利性导致了设备设计、工艺修正、设备维护和产量的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated web-based architecture for correlative engineering data analysis and decision support
In the dynamic environment of frequently changing technology cycles, semiconductor manufacturing companies strive to optimize processes quickly to increase yields across a myriad of device types being designed and processed simultaneously in a factory. Immense quantities of process and test data are usually collected during silicon processing, and computerized tools are used to extract and analyze the engineering data for decision support. An integrated web-based architecture using Spotfire DecisionSite/spl trade/ framework has been implemented at Kilby Center (KFAB) of Texas Instruments (TI) for engineering data analysis. Rather than merely providing access to the different data sets to the end users, the established infrastructure provides an enormous value by facilitating data merges and correlative analyses across the multiple and complex data warehouses. Ease of employing these correlation techniques has lead to improvements in device designs, process corrections, equipment maintenance, and yields.
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