Name
Title | ||
|---|---|---|
An Architecture Concept for Short- and Long-term Resource Planning in the Industry 4.0 Environment |
Abstract | ||
|---|---|---|
The manufacturing domain is exposed to a continu-ous 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. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/WFCS53837.2022.9779161 | 2022 IEEE 18th International Conference on Factory Communication Systems (WFCS) |
Keywords | DocType | ISBN |
industry4.0,architecture,5G,planning | Conference | 978-1-6654-1087-8 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arne Neumann | 1 | 0 | 0.34 |
| Marvin Illian | 2 | 0 | 0.34 |
| Tobias Hardes | 3 | 0 | 0.34 |
| Lukas Martenvormfelde | 4 | 0 | 0.34 |
| Lukasz Wisniewski | 5 | 18 | 6.87 |
| Juergen Jasperneite | 6 | 0 | 0.34 |