Artificial intelligence-based decision-making algorithms, internet of things sensing networks, and deep learning-assisted smart process management in cyber-physical …

M Andronie, G Lăzăroiu, M Iatagan, C Uță… - Electronics, 2021 - mdpi.com
With growing evidence of deep learning-assisted smart process planning, there is an
essential demand for comprehending whether cyber-physical production systems (CPPSs) …

Smart production planning and control in the Industry 4.0 context: A systematic literature review

A Bueno, M Godinho Filho, AG Frank - Computers & industrial engineering, 2020 - Elsevier
Scholars and practitioners have considered Industry 4.0 a comprehensive set of emerging
technologies that establish a new industrial perspective based on the “Internet of Things”. As …

Enabling technologies and tools for digital twin

Q Qi, F Tao, T Hu, N Anwer, A Liu, Y Wei… - Journal of Manufacturing …, 2021 - Elsevier
Digital twin is revolutionizing industry. Fired by sensor updates and history data, the
sophisticated models can mirror almost every facet of a product, process or service. In the …

A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence

K Xia, C Sacco, M Kirkpatrick, C Saidy… - Journal of Manufacturing …, 2021 - Elsevier
Filling the gaps between virtual and physical systems will open new doors in Smart
Manufacturing. This work proposes a data-driven approach to utilize digital transformation …

Industry 4.0: A bibliometric analysis and detailed overview

PK Muhuri, AK Shukla, A Abraham - Engineering applications of artificial …, 2019 - Elsevier
With the arrival of Industry 4.0, the overall transformation using digital integration and
intelligent engineering has taken a giant leap towards futuristic technology. All devices today …

The internet of things for smart manufacturing: A review

H Yang, S Kumara, STS Bukkapatnam, F Tsung - IISE transactions, 2019 - Taylor & Francis
The modern manufacturing industry is investing in new technologies such as the Internet of
Things (IoT), big data analytics, cloud computing and cybersecurity to cope with system …

The challenges, approaches, and used techniques of CPS for manufacturing in Industry 4.0: a literature review

B Dafflon, N Moalla, Y Ouzrout - The International Journal of Advanced …, 2021 - Springer
This work aims to review literature related to the latest cyber-physical systems (CPS) for
manufacturing in the revolutionary Industry 4.0 for a comprehensive understanding of the …

Requirements of the smart factory system: A survey and perspective

MM Mabkhot, AM Al-Ahmari, B Salah, H Alkhalefah - Machines, 2018 - mdpi.com
With the development of Industry 4.0 and the emergence of the smart factory concept, the
traditional philosophy of manufacturing systems will change. The smart factory introduces …

Enabling technologies for operator 4.0: A survey

T Ruppert, S Jaskó, T Holczinger, J Abonyi - Applied sciences, 2018 - mdpi.com
The fast development of smart sensors and wearable devices has provided the opportunity
to develop intelligent operator workspaces. The resultant Human-Cyber-Physical Systems …

Data analytics in industry 4.0: A survey

L Duan, L Da Xu - Information Systems Frontiers, 2021 - Springer
Industry 4.0 is the fourth industrial revolution for decentralized production through shared
facilities to achieve on-demand manufacturing and resource efficiency. It evolves from …