The fourth industrial revolution is rapidly changing the manufacturing landscape. Due to the growing research and fast evolution in this field, no clear definitions of these concepts yet exist. This work provides a clear description of technological trends and gaps. We introduce a novel method to create a map of Industry 4.0 technologies, using natural language processing to extract technology terms from 14,667 research articles and applying network analysis. We identified eight clusters of Industry 4.0 technologies, which served as the basis for our analysis. Our results show that Industrial Internet of Things (IIoT) technologies have become the center of the Industry 4.0 technology map. This is in line with the initial definitions of Industry 4.0, which centered on IIoT. Given the recent growth in the importance of artificial intelligence (AI), we suggest accounting for AI's fundamental role in Industry 4.0 and understanding the fourth industrial revolution as an AI-powered natural collaboration between humans and machines. This article introduces a novel approach for literature reviews, and the results highlight trends and research gaps to guide future work and help these actors reap the benefits of digital transformations.
翻译:第四轮工业革命正在迅速改变制造业格局。由于该领域研究和快速演变的增长,尚没有关于这些概念的明确定义。这项工作提供了技术趋势和差距的清晰描述。我们引入了一种新颖的方法来绘制工业4.0技术图,利用自然语言处理从14,667份研究文章中提取技术术语,并应用网络分析。我们确定了八组工业4.0技术,作为我们分析的基础。我们的研究结果表明,工业物质互联网技术已成为工业4.0技术图的中心。这符合工业4.0的最初定义,该定义以IIoT为中心。鉴于人造情报的重要性最近有所增长(AI),我们建议核算AI在工业中的基本作用4.0,并理解第四轮工业革命是AI驱动的人类和机器之间的自然合作。这篇文章介绍了文献审查的新办法,以及结果突出了趋势和研究差距,以指导未来工作并帮助这些行为者获得数字转型的好处。