Neumann, ArneArneNeumannIllian, MarvinMarvinIllianHardes, TobiasTobiasHardesMartenvormfelde, LukasLukasMartenvormfeldeWisniewski, LukaszLukaszWisniewskiJasperneite, JürgenJürgenJasperneite2022-08-182022-08-182022https://publica.fraunhofer.de/handle/publica/41988110.1109/wfcs53837.2022.9779161The 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.enindustry 4.0architecture5GplanningAn Architecture Concept for Short- and Long-term Resource Planning in the Industry 4.0 Environmentconference paper