Journal ArticleDOI
Research on the maturity of big data management capability of intelligent manufacturing enterprise
TLDR
From the perspective of intelligent manufacturing, combined with cyber-physical system, big data, Internet of things, cloud computing, industrial transformation and value chain concepts, the authors studies digital manufacturing, also called intelligent manufacturing.Abstract:
From the perspective of intelligent manufacturing, combined with cyber‐physical system, big data, Internet of things, cloud computing, industrial transformation and value chain concepts, this paper studies digital manufacturing, also called intelligent manufacturing. Intelligent manufacturing is explored from the perspective of the supply chain and industry chain. In this paper, other topics in the integrated big data‐driven intelligent manufacturing is also discussed.read more
Citations
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Industry 5.0: Potential Applications in COVID-19
TL;DR: The fifth industrial revolution as discussed by the authors consists of smart digital information and manufacturing technologies, which generates effective processes and makes rapid improve. But, it is not suitable for large-scale manufacturing.
Journal ArticleDOI
Big data analytics in manufacturing: a bibliometric analysis of research in the field of business management
TL;DR: Big data is of great importance in manufacturing, since knowing the diverse origin of underlying causes of problems is completely necessary for managing continuous improvement.
Journal ArticleDOI
Industry 4.0 and its Implementation: a Review
TL;DR: In this article, the authors present a systematic review of the scope of Industry 4.0, its goals and implementations, as well as the barriers to the implementation of Industry 5.0.
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Optimized intelligent data management framework for a cyber-physical system for computational applications
TL;DR: The method described spreads computational and analytical engines in several levels and autonomous modules to enhance intelligence and autonomy for controlling and tracking behavior on the work floor and a training approach based on two enhanced training procedures is contained in the suggested reasoning modules.
References
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Journal ArticleDOI
Internet of Things in Industries: A Survey
Li Da Xu,Wu He,Shancang Li +2 more
TL;DR: This review paper summarizes the current state-of-the-art IoT in industries systematically and identifies research trends and challenges.
Journal ArticleDOI
Industry 4.0: state of the art and future trends
TL;DR: The state of the art in the area of Industry 4.0 as it relates to industries is surveyed, with a focus on China's Made-in-China 2025 and formal methods and systems methods crucial for realising Industry 5.0.
Journal ArticleDOI
China's manufacturing locus in 2025: With a comparison of “Made-in-China 2025” and “Industry 4.0”
TL;DR: In this article, the authors compared Germany's Industry 4.0 and China's "Made-in-China 2025" and estimated China's locus in the MIFS.
Journal ArticleDOI
Enterprise Systems: State-of-the-Art and Future Trends
TL;DR: The state of the art in the area of enterprise systems as they relate to industrial informatics is surveyed, highlighting formal methods and systems methods crucial for modeling complex enterprise systems, which poses unique challenges.
Journal ArticleDOI
Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0
TL;DR: By selectively analyzing the literature, this paper systematically survey how the adoption of the above-mentioned Industry 4.0 technologies (and their integration) applied to the health domain is changing the way to provide traditional services and products.