灵活性(工程)
工业4.0
背景(考古学)
先进制造业
制造工程
云制造
云计算
质量(理念)
制造业
计算机科学
工程类
业务
大数据
营销
嵌入式系统
哲学
古生物学
操作系统
认识论
统计
生物
数学
作者
Ray Y. Zhong,Xun Xu,Eberhard Klotz,Stephen T. Newman
出处
期刊:Engineering
[Elsevier]
日期:2017-10-01
卷期号:3 (5): 616-630
被引量:2059
标识
DOI:10.1016/j.eng.2017.05.015
摘要
Our next generation of industry—Industry 4.0—holds the promise of increased flexibility in manufacturing, along with mass customization, better quality, and improved productivity. It thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. Intelligent manufacturing plays an important role in Industry 4.0. Typical resources are converted into intelligent objects so that they are able to sense, act, and behave within a smart environment. In order to fully understand intelligent manufacturing in the context of Industry 4.0, this paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things (IoT)-enabled manufacturing, and cloud manufacturing. Similarities and differences in these topics are highlighted based on our analysis. We also review key technologies such as the IoT, cyber-physical systems (CPSs), cloud computing, big data analytics (BDA), and information and communications technology (ICT) that are used to enable intelligent manufacturing. Next, we describe worldwide movements in intelligent manufacturing, including governmental strategic plans from different countries and strategic plans from major international companies in the European Union, United States, Japan, and China. Finally, we present current challenges and future research directions. The concepts discussed in this paper will spark new ideas in the effort to realize the much-anticipated Fourth Industrial Revolution.
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