Convergence of Manufacturing and Networking in Future Factories

Ilaria Malanchini; Nicola Michailow; Patrick Agostini; Janne Ali-Tolppa; David Hock; Martin Kasparick; Alessandro Lieto; Nikolaj Marchenko; Alberto Martinez Alba; Rastin Pries; Qiuheng Zhou

arXiv · 2312.08708

Convergence of Manufacturing and Networking in Future Factories

Ilaria Malanchini·Nicola Michailow·Patrick Agostini·Janne Ali-Tolppa·David Hock·Martin Kasparick·Alessandro Lieto·Nikolaj Marchenko·Alberto Martinez Alba·Rastin Pries·Qiuheng Zhou

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Abstract

The roll out of 5G has been mainly characterized by its distinct support for vertical industries, especially manufacturing. Leveraging synergies among these two worlds, namely production facilities and network systems, is a fundamental aspect to enable flexibility and economic viability in future factories. This work highlights the potential for intelligent networking and advanced machine learning-based solutions in 5G-and-beyond systems in the context of Industry 4.0 and flexible manufacturing. The intersection thereof allows to create versatile machines and dynamic communication networks that can adapt to changes in the manufacturing process, factory layout and communication environment, supporting real-time interaction between humans, machines, and systems. We present a vision and corresponding framework by introducing the network-aware and production-aware principles, outlining results achieved in this context and summarizing them into three key use cases. Finally, we discuss a selection of remaining open challenges in private networks as well as give an outlook on future 6G research directions.

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Ilaria Malanchini, Nicola Michailow, Patrick Agostini, Janne Ali-Tolppa, David Hock, Martin Kasparick, Alessandro Lieto, Nikolaj Marchenko, Alberto Martinez Alba, Rastin Pries, Qiuheng Zhou. 2023-12-14. Convergence of Manufacturing and Networking in Future Factories. https://arxiv.org/abs/2312.08708

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