Mu-Yen Chen, Edwin Lughofer, Erol Egrioglu,
"Editorial: Deep learning and intelligent system towards smart manufacturing"
, in Enterprise Information Systems, Vol. 16, Nummer 2, Taylor & Francis, Seite(n) 189192, 2022, ISSN: 1751-7583
Original Titel:
Editorial: Deep learning and intelligent system towards smart manufacturing
Sprache des Titels:
Englisch
Original Kurzfassung:
With the integration and extensive applications of the new generation of information technologies (such as cloud computing, IoT, big data, deep learning, AVG) in manufacturing industry, a number of countries have put forward their national advanced manufacturing development strategies, such as Industry 4.0 in Germany, Industrial Internet and manufacturing system based on CPS (Cyber-Physical Systems) in the USA, as well as Made in China 2025 and Internet Plus Manufacturing in China. Smart Manufacturing and the Smart Factory enables all information about the manufacturing process to be available when and where it is needed across entire manufacturing supply chains and product lifecycles. Smart Manufacturing is being predicted as the next Industrial Revolution or Industry 4.0. And, as with many other advances throughout recent years, it all has to do with technology connectivity and the advances in the contextualisation of data. However, with neither the intelligent system support nor the support of data science technology, ?smart? cannot be achieved.
Forschungs-