Artificial Intelligence in Manufacturing: Bibliometric and Content Analysis

G. Zeba, Marina Dabić, M. Čičak, T. Daim
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引用次数: 1

Abstract

The period of the fourth industrial revolution, called Industry 4.0, is characterized by new, innovative technologies, such as Cloud Computing, the Internet of Things, the Industrial Internet of Things, Big Data, Blockchain, Cyber-Physical Systems, Artificial Intelligence, etc. Artificial Intelligence technology plays a significant role in modern manufacturing, particularly in the context of the Industry 4.0 paradigm. This article offers a visual and a comprehensive study on the application of Artificial Intelligence in manufacturing. Existing scholarly literature on Artificial Intelligence in manufacturing, within the Web of Science Core Collection databases, is examined in two periods: 1979–2010 and 2011–2019, respectively, before and after the emergency of the term Industry 4.0. Bibliometric and content analysis of relevant literature is conducted and key findings are subsequently identified. The results indicate that the most important topics today are cyber-physical systems and smart manufacturing; deep learning and big data; and real-time scheduling algorithms.
制造业中的人工智能:文献计量学和内容分析
第四次工业革命时期被称为工业4.0,其特点是新的创新技术,如云计算、物联网、工业物联网、大数据、区块链、网络物理系统、人工智能等。人工智能技术在现代制造业中发挥着重要作用,特别是在工业4.0范式的背景下。本文对人工智能在制造业中的应用进行了直观和全面的研究。在Web of Science核心数据库中,现有的关于制造业人工智能的学术文献分别在1979-2010年和2011-2019年两个时期进行了研究,分别是在工业4.0这个术语出现之前和之后。对相关文献进行文献计量学和内容分析,随后确定关键发现。结果表明,当今最重要的主题是网络物理系统和智能制造;深度学习与大数据;以及实时调度算法。
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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