Digital Reference – A Semantic Web for Semiconductor Manufacturing and Supply Chains Containing Semiconductors

H. Ehm, Nour Ramzy, Patrick Moder, Christoph Summerer, Simone Fetz, Cédric Neau
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引用次数: 7

Abstract

Within the public-private ECSEL Joint Undertaking, the project Productive4.0 aims for improvements with regard to digitalization for electronic components like semiconductors and systems as key enabling technologies. The semiconductor industry has a high growth potential within the frame of digitalization as manufactured products are intensively used in production and B2B environment. Thus, Supply chains employing and fabricating semiconductors become the core driver and beneficent of digitalization. In order to exploit digitalization potentials, Semantic Web technologies are used to create a digital twin for semiconductor supply chains and supply chains containing semiconductors. Exemplary benefits of this lingua franca which can be understood by humans and machines alike for various applications like simulation, deep learning, security, trust, and automation are shown in this paper.
数字参考——半导体制造和包含半导体的供应链的语义网
在公私合营的ECSEL联合项目中,Productive4.0项目旨在改进半导体和系统等电子元件的数字化,将其作为关键的使能技术。半导体产业在数字化的框架下具有很高的增长潜力,因为制造出来的产品在生产和B2B环境中被大量使用。因此,使用和制造半导体的供应链成为数字化的核心驱动力和受益者。为了挖掘数字化潜力,语义网技术被用于创建半导体供应链和包含半导体的供应链的数字孪生。本文展示了人类和机器都能理解的这种通用语言在模拟、深度学习、安全、信任和自动化等各种应用中的典型好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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