互联设备和工业的生产效率和良率提升趋势

R. Mih
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引用次数: 2

摘要

全球联网设备数量预计将从2015年的150亿增长到2025年的750亿以上[1],因为技术从消费者应用中的联网设备发展到联网行业,进而发展到联网社会。根据IC Insights[2],这些器件的晶圆启动将在>28纳米的成熟技术节点上进行。本文将回顾制造和产量技术的趋势,以应对这些挑战。特别是,将考虑使用过程设备传感器来创建设备健康监视器和虚拟计量算法,以检测过程变化,并保持机器性能和产量。还将讨论新兴技术(深度学习)在制造控制和良率方面的应用。这些趋势对于实现自主智能工厂(也称为工业4.0)至关重要[3]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trends in Manufacturing Productivity and Yield Enhancement for Interconnected Devices and Industries
The global number of networked devices is expected to grow from ∼15 billion in 2015 to over 75 billion by 2025 [1] as technology advances from networked devices in consumer applications to networked industries and subsequently to networked societies. According to IC Insights [2], ∼52% of the wafer starts for these devices will be in mature technology nodes >28 nm. This paper will review trends in manufacturing and yield techniques to meet these challenges. In particular, the use of process equipment sensors to create Equipment Health Monitors and Virtual Metrology algorithms, to detect process variation, and maintain machine performance and yield will be considered. Application of emerging technologies (Deep Learning) for manufacturing control and yield will also be discussed. These trends are critical to enable autonomous Smart Factory, also known as Industry 4.0 [3].
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