5G assisted smart manufacturing and industrial automation
- The digitization of factories will be a significant issue for the 2020s. New scenarios are emerging to increase the efficiency of production lines inside the factory, based on a new generation of robots’ collaborative functions. Manufacturers are moving towards data-driven ecosystems by leveraging product lifecycle data from connected goods. Energy-efficient communication schemes, as well as scalable data analytics, will support these various data collection scenarios. With augmented reality, new remote services are emerging that facilitate the efficient sharing of knowledge in the factory. Future communication solutions should generally ensure connectivity between the various production sites spread worldwide and new players in the value chain (e.g., suppliers, logistics) transparent, real-time, and secure. Industry 4.0 brings more intelligence and flexibility to production. Resulting in more lightweight equipment and, thus, offering better ergonomics. 5G will guarantee real-time transmissions with latencies of less than 1 ms. This will provide manufacturers with new possibilities to collect data and trigger actions automatically.
Author of HS Reutlingen | Zimmermann, Alfred |
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DOI: | https://doi.org/10.1007/978-3-030-80840-2_44 |
Erschienen in: | Advances in the human side of service engineering : proceedings of the AHFE 2021 Virtual Conference on The Human Side of Service Engineering, July 25-29, 2021, USA (Lecture Notes in Networks and Systems, vol. 266) |
Publisher: | Springer |
Place of publication: | Cham |
Editor: | Christine Leitner, Walter Ganz, Debra Satterfield, Clara Bassano |
Document Type: | Conference proceeding |
Language: | English |
Publication year: | 2021 |
Tag: | 5G networks; human factor; industrial internet of things; industry 4.0; smart manufacturing; systems engineering |
Page Number: | 9 |
First Page: | 384 |
Last Page: | 393 |
PPN: | Im Katalog der Hochschule Reutlingen ansehen |
DDC classes: | 004 Informatik |
Open access?: | Nein |
Licence (German): | In Copyright - Urheberrechtlich geschützt |