大数据
工业革命
云计算
工业4.0
计算机科学
信息物理系统
工业互联网
背景(考古学)
云制造
互联网
人工智能
物联网
网络智能
数据科学
制造业
万维网
业务
营销
数据挖掘
生物
法学
古生物学
Web开发
操作系统
政治学
作者
Gordana Zeba,Marina Dabić,Mirjana Čičak,Tuğrul Daim,Haydar Yalçın
标识
DOI:10.1016/j.techfore.2021.120971
摘要
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, and so on. 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 of 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. These periods are viewed, respectively, as before and after the emergence 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.
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