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Enabling smart manufacturing in the sub-fab

机译:在子工厂中实现智能制造

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Smart manufacturing in the sub-fab combines realtime data with specific domain knowledge to optimize equipment performance. Improved performance enables significant improvements in productivity and yield. A successful implementation of smart manufacturing requires that sub-fab vacuum and abatement systems be treated as a whole as well as individually. Application of big data techniques, data mining, artificial intelligence and machine learning will certainly reveal new relationships within the data, especially as the number and types of sensors grows and data is integrated across the fab, sub-fab and entire manufacturing ecosystem. Operational excellence models will provide the safe and solid foundations needed to realize the full benefits of new learning.
机译:子工厂中的智能制造将实时数据与特定领域的知识相结合,以优化设备性能。改进的性能可显着提高生产率和产量。成功实施智能制造需要将子工厂真空和减排系统作为一个整体或单独对待。大数据技术,数据挖掘,人工智能和机器学习的应用肯定会揭示数据中的新关系,尤其是随着传感器数量和类型的增长以及整个工厂,子工厂和整个制造生态系统中数据的集成。卓越的运营模式将为实现新学习的全部好处提供安全和坚实的基础。

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