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Federated composite manufacturing process simulation using digital twins.

de Vrieze, P. T., Arshad, R. and Xu, L., 2025. Federated composite manufacturing process simulation using digital twins. International Journal of Simulation and Process Modelling, 21 (3), 179-191.

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Official URL: https://www.inderscience.com/jhome.php?jcode=ijspm

DOI: 10.1504/IJSPM.2024.143855

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
ISSN:1740-2123
Uncontrolled Keywords:Digital twins; Simulation; Federated Simulation; Interoperability; Manufacturing; Industry 4.0
Group:Faculty of Science & Technology
ID Code:40328
Deposited By: Symplectic RT2
Deposited On:16 Sep 2024 10:49
Last Modified:13 Jan 2025 12:38

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