文章基本信息

标题：Sustainable Industry 4.0 Wireless Networks, Machine Learning Algorithms, and Internet of Things-based Real-Time Production Logistics in Digital Twin-driven Smart Manufacturing
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作者：Elvira Nica ; Gheorghe H.Popescu ; George Lăzăroiu 等
期刊名称：SHS Web of Conferences
印刷版ISSN：2416-5182
电子版ISSN：2261-2424
出版年度：2021
卷号：129
页码：1-9
DOI：10.1051/shsconf/202112904003
语种：English
出版社：EDP Sciences
摘要：Research The aim of this paper is to synthesize and analyze existing evidence on artificial intelligence-based decision-making algorithms, industrial big data, and Internet of Things sensing networks in digital twin-driven smart manufacturing.Purpose of the article: Using and replicating data from Altair, Catapult, Deloitte, DHL, GAVS, PwC, and ZDNet we performed analyses and made estimates regarding cyber-physical system-based real-time monitoring, product decision-making information systems, and artificial intelligence data-driven Internet of Things systems in digital twin-based cyber-physical production systems.
关键词：digital twin;smart manufacturing;industrial big data;Internet of Things;smart manufacturing