de Vrieze, P. T, Arshad, R. and Xu, L., 2024. Federated composite manufacturing process simulation using digital twins. International Journal of Simulation and Process Modelling. (In Press)
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Official URL: https://www.inderscience.com/jhome.php?jcode=ijspm
Abstract
Digital twins play a key role in the operation and management of smart factories. In some cases, an entire production line can be seen as a (composite) digital twin. The production line is often composed of multiple components and corresponding digital twins with their own (simulation) models. In this paper, we propose a federated simulation model that allows the simulation of such a composition to be built from independent digital twins of the components. We provide a formal model as the basis for the approach. The federated simulation provides a building block towards context-aware, autonomous, and adaptive simulation blocks for future factories. The solution is evaluated using proof-of-concept implementations in Python and Kotlin.
Item Type: | Article |
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ISSN: | 1740-2123 |
Uncontrolled Keywords: | Digital twins; Simulation; Federated Simulation; Interoperability; Manufacturing; Industry 4.0 |
Group: | UNSPECIFIED |
ID Code: | 40328 |
Deposited By: | Symplectic RT2 |
Deposited On: | 16 Sep 2024 10:49 |
Last Modified: | 16 Sep 2024 10:49 |
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