Thorsten Wuest

Machine learning in manufacturing: advantages, challenges, and applications

Thorsten Wuest, D. R. Weimer, Christopher Irgens et al. · Production & Manufacturing Research · 2016 · 1.2K citations · Full text

Engineering, Machine Learning, Machine Learning Model +14

Industry 5.0: Prospect and retrospect

Jiewu Leng, Weinan Sha, Baicun Wang et al. · Journal of Manufacturing Systems · 2022 · 1K citations

Industry Studies, Business, Business Strategy +4

Smart manufacturing: Characteristics, technologies and enabling factors

Sameer Mittal, Muztoba Ahmad Khan, David Romero et al. · Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture · 2017 · 530 citations · Full text

Engineering, Industrial Engineering, Smart Manufacturing +21

Human Digital Twin in the context of Industry 5.0

Baicun Wang, Huiying Zhou, Xingyu Li et al. · Robotics and Computer-Integrated Manufacturing · 2023 · 344 citations

Engineering, Digital Identity, Digital Twinning +8

Towards An Operator 4.0 Typology: A Human-Centric Perspective On The Fourth Industrial Revolution Technologies

David Romero Díaz, Johan Stahre, Thorsten Wuest et al. · Computers in entertainment · 2016 · 247 citations

Robotic Systems, Engineering, Industrial Engineering +27