Production-Level Artificial Intelligence Applications in Semiconductor Supply Chains

IF 2.3 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Semiconductor Manufacturing Pub Date : 2023-10-13 DOI:10.1109/TSM.2023.3322142
Chen-Fu Chien;Hans Ehm;John W. Fowler;Karl G. Kempf;Lars Mönch;Cheng-Hung Wu
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Abstract

This is a panel paper that discusses the use of Artificial Intelligence (AI) technologies to address production and supply chain level problems in semiconductor manufacturing. We have gathered a group of expert semiconductor researchers and practitioners from around the world who have developed AI solutions for various semiconductor problems. This paper aims to provide their answers to an initial set of questions and provide an overview of the AI developments and empirical studies to make suggestions for future directions in this arena.
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生产级人工智能在半导体供应链中的应用
这是一篇讨论使用人工智能(AI)技术解决半导体制造中的生产和供应链层面问题的小组论文。我们聚集了一批来自世界各地的半导体专家研究人员和从业者,他们为各种半导体问题开发了人工智能解决方案。本文旨在提供他们对最初一组问题的答案,并概述人工智能的发展和实证研究,为该领域的未来方向提出建议。
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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来源期刊
IEEE Transactions on Semiconductor Manufacturing
IEEE Transactions on Semiconductor Manufacturing 工程技术-工程:电子与电气
CiteScore
5.20
自引率
11.10%
发文量
101
审稿时长
3.3 months
期刊介绍: The IEEE Transactions on Semiconductor Manufacturing addresses the challenging problems of manufacturing complex microelectronic components, especially very large scale integrated circuits (VLSI). Manufacturing these products requires precision micropatterning, precise control of materials properties, ultraclean work environments, and complex interactions of chemical, physical, electrical and mechanical processes.
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