自动化
计算机科学
钥匙(锁)
生产(经济)
调解
工业4.0
制造业
云计算
云制造
制造工程
人在回路中
新兴技术
系统工程
风险分析(工程)
数据科学
过程管理
业务
工程类
计算机安全
人机交互
嵌入式系统
人工智能
机械工程
营销
法学
政治学
经济
宏观经济学
操作系统
作者
Christopher Turner,Ruidong Ma,Jingyu Chen,John Oyekan
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2021-01-01
卷期号:9: 103950-103966
被引量:39
标识
DOI:10.1109/access.2021.3099311
摘要
Industry 4.0 derived technologies have the potential to enable a new wave of digital manufacturing solutions for semi and fully automated production. In addition, this paradigm encompasses the use of communication technologies to transmit data to processing stations as well as the utilization of cloud based computational resources for data mining. Despite the rise in automation, future manufacturing systems will initially still require humans in the loop to provide supervisory level mediation for even the most autonomous production scenarios. Through a structured review, this paper details a number of key technologies that are most likely to shape this future and describes a range of scenarios for their use in delivering human mediated automated and autonomous production. This paper argues that in all cases of future manufacturing management it is key that the human has oversight of critical information flows and remains an active participant in the delivery of the next generation of production systems.
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