neumann2022architecture
Abstract
The manufacturing domain is exposed to a continuous change of the requirements towards the IT infrastructure and the flexibility in Industry 4.0. In order to achieve a highly reliable production system, predictive maintenance and additive sensing have been implemented and will be complemented by further applications such as Augmented Reality. As the applications may be required ad-hoc at any time, the dynamic resource utilization of networking and computational resources needs to be managed. In the long-term, the planning of the infrastructure affects the available resources and thus the efficiency and reliability of the short-term resource management. This paper suggests an architecture that combines short- and long-term aspects of the resource utilization and previews how the infrastructure and opportunity costs can be optimized by the joint approach.
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Contact
- Arne Neumann
- Marvin Illian
- Tobias Hardes
- Lukas Martenvormfelde
- Lukasz Wisniewski
- Jürgen Jasperneite
BibTeX reference
@inproceedings{neumann2022architecture,
author = {Neumann, Arne and Illian, Marvin and Hardes, Tobias and Martenvormfelde, Lukas and Wisniewski, Lukasz and Jasperneite, J{\"{u}}rgen},
title = {{An Architecture Concept for Short- and Long-term Resource Planning in the Industry 4.0 Environment}},
booktitle = {18th IEEE International Workshop on Factory Communication Systems (WFCS)},
address = {Virtual Conference},
doi = {10.1109/WFCS53837.2022.9779161},
month = {April},
publisher = {IEEE},
year = {2022},
}
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