An Architecture Concept for Short- and Long-term Resource Planning in the Industry 4.0 Environment
Arne Neumann , Marvin Illian , Tobias Hardes , Lukas Martenvormfelde , Lukasz Wisniewski and Jürgen Jasperneite,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.
author | = | {Neumann, Arne and Illian, Marvin and Hardes, Tobias and Martenvormfelde, Lukas and Wisniewski, Lukasz and Jasperneite, Jürgen}, |
title | = | {An Architecture Concept for Short- and Long-term Resource Planning in the Industry 4.0 Environment}, |
booktitle | = | {18th IEEE International Conference on Factory Communication Systems (WFCS 2022)}, |
year | = | {2022}, |
editor | = | {}, |
volume | = | {}, |
series | = | {}, |
pages | = | {}, |
address | = | {Pavia, Italy}, |
month | = | {Apr}, |
organisation | = | {}, |
publisher | = | {IEEE}, |
note | = | {}, |