Deep Learning Applications in Smart Manufacturing for Revitalizing the U.S. Industrial Sector

Authors

  • Dr. Beatrice Kern Professor of Information Systems, University of Applied Sciences Potsdam, Germany Author

Keywords:

Smart Manufacturing, Industrial Sector

Abstract

Smart manufacturing has gained tremendous attention as an innovative solution toward addressing challenges in the automation industry, where the U.S. leads. Many definitions have been proposed; of those, smart manufacturing is defined as "a fully-integrated and collaborative manufacturing system that responds in real time to meet the changing demands and conditions in the factory, in the supply network, and in customer needs." There are six integral components of smart manufacturing, namely, digitalization, the cyber-physical system, secure open networks, the internet of things, technical standards, and people in an integrated digital environment.

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Published

12-08-2024

How to Cite

[1]
Dr. Beatrice Kern, “Deep Learning Applications in Smart Manufacturing for Revitalizing the U.S. Industrial Sector”, Distrib Learn Broad Appl Sci Res, vol. 10, pp. 147–174, Aug. 2024, Accessed: Dec. 04, 2024. [Online]. Available: https://dlabi.org/index.php/journal/article/view/136

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