An Architecture Concept for Short- and Long-term Resource Planning in the Industry 4.0 Environment
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
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.
Details
Original language | English |
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Title of host publication | 18th IEEE International Workshop on Factory Communication Systems (WFCS) |
Place of Publication | Virtual, Online |
Publisher | IEEE |
Pages | 1-4 |
ISBN (electronic) | 9781665410861 |
Publication status | Published - Apr 2022 |
Peer-reviewed | Yes |
Externally published | Yes |
External IDs
Bibtex | nsm-neumann2022architecture |
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Scopus | 85131811409 |
ORCID | /0000-0002-8846-8374/work/142241971 |
Keywords
ASJC Scopus subject areas
Keywords
- 5G, architecture, industry4.0, planning