Actionable Artificial Intelligence for the Future of Production
book-chapter
Compilation of fundamentals and applications of AI and data based systems in the context of the Industry 4.0.
Abstract
The Internet of Production (IoP) promises to be the answer to major challenges facing the Industrial Internet of Things (IIoT) and Industry 4.0. The lack of inter-company communication channels and standards, the need for heightened safety in Human Robot Collaboration (HRC) scenarios, and the opacity of data-driven decision support systems are only a few of the challenges we tackle in this chapter. We outline the communication and data exchange within the World Wide Lab (WWL) and autonomous agents that query the WWL which is built on the Digital Shadows (DS). We categorize our approaches into actionable AI methods that support decision-making across production domains.
Citation
@incollection{behery2023actionable,
author = {Behery, Mohamed and Brauner, Philipp and Zhou, Hans Aoyang and Uysal, Merih Seran and Samsonov, Vladimir and Bellgardt, Martin and Brillowski, Florian and Brockhoff, Tobias and Ghahfarokhi, Anahita Farhang and Gleim, Lars and Gorissen, Leon Michel and Grochowski, Marco and Henn, Thomas and Iacomini, Elisa and Kaster, Thomas and Koren, István and Liebenberg, Martin and Reinsch, Leon and Tirpitz, Liam and Trinh, Minh and Posada-Moreno, Andres Felipe and Liehner, Luca and Schemmer, Thomas and Vervier, Luisa and Völker, Marcus and Walderich, Philipp and Zhang, Song and Brecher, Christian and Schmitt, Robert H. and Decker, Stefan and Gries, Thomas and Häfner, Constantin Leon and Herty, Michael and Jarke, Matthias and Kowalewski, Stefan and Kuhlen, Torsten W. and Schleifenbaum, Johannes Henrich and Trimpe, Sebastian and van der Aalst, Wil M. P. and Ziefle, Martina and Lakemeyer, Gerhard},
booktitle = {Internet of Production: Fundamentals, Applications and Proceedings},
date = {2023},
doi = {10.1007/978-3-030-98062-7_4-1},
pages = {1--46},
publisher = {Springer International Publishing},
title = {Actionable Artificial Intelligence for the Future of Production},
url = {https://doi.org/10.1007/978-3-030-98062-7_4-1}
}