scholarly journals Guest Editorial Special Section on Big Data Analytics in Intelligent Manufacturing

2019 ◽  
Vol 15 (4) ◽  
pp. 2382-2385 ◽  
Author(s):  
Kunpeng Zhu ◽  
Sanjay Joshi ◽  
Qing-Guo Wang ◽  
Jerry Fuh Ying Hsi
2018 ◽  
Vol 15 (1) ◽  
pp. 10-12 ◽  
Author(s):  
Giuliano Casale ◽  
Yixin Diao ◽  
Marco Mellia ◽  
Rajiv Ranjan ◽  
Nur Zincir-Heywood

2020 ◽  
Vol 26 (3) ◽  
pp. 515-517
Author(s):  
Arun Kumar Sangaiah ◽  
Ford Lumban Gaol ◽  
Krishn K. Mishra

2022 ◽  
pp. 406-428
Author(s):  
Lejla Banjanović-Mehmedović ◽  
Fahrudin Mehmedović

Intelligent manufacturing plays an important role in Industry 4.0. Key technologies such as artificial intelligence (AI), big data analytics (BDA), the internet of things (IoT), cyber-physical systems (CPSs), and cloud computing enable intelligent manufacturing systems (IMS). Artificial intelligence (AI) plays an essential role in IMS by providing typical features such as learning, reasoning, acting, modeling, intelligent interconnecting, and intelligent decision making. Artificial intelligence's impact on manufacturing is involved in Industry 4.0 through big data analytics, predictive maintenance, data-driven system modeling, control and optimization, human-robot collaboration, and smart machine communication. The recent advances in machine and deep learning algorithms combined with powerful computational hardware have opened new possibilities for technological progress in manufacturing, which led to improving and optimizing any business model.


2019 ◽  
Vol 11 (3) ◽  
pp. 329-330
Author(s):  
A. Fernandez ◽  
I. Triguero ◽  
M. Galar ◽  
F. Herrera

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