UniTwin: Enabling Multi-Digital Twin Coordination for Modeling Distributed and Complex Systems

The growing complexity and scale of Cyber–Physical Systems (CPSs) have led to an increasing need for the holistic orchestration of multiple Digital Twins (DTs). Therefore, an extension to the UniTwin framework is introduced within this paper. UniTwin is a containerized, cloud-native DT framework. This extension enables the hierarchical aggregation of DTs across various abstraction levels. Traditional DT frameworks often lack mechanisms for dynamic composition at the level of entire systems. This is essential for modeling distributed systems in heterogeneous environments. UniTwin addresses this gap by grouping DTs into composite entities with an aggregation mechanism. The aggregation mechanism is demonstrated in a smart manufacturing case study, which covers the orchestration of a production line for personalized shopping cart chips. It uses modular DTs provided for each device within the production line. A System-Aggregated Digital Twin (S-ADT) is used to orchestrate the individual DTs, mapping the devices in the production line. Therefore, the production line adapts and reconfigures according to user-defined parameters. This validates the flexibility and practicality of the aggregation mechanism. This work contributes an aggregation mechanism for the UniTwin framework, paving the way for adaptable DTs for complex CPSs in domains like smart manufacturing, logistics, and infrastructure.

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Publication Details

Journal
IoT
Published
2025-09-23
DOI
https://doi.org/10.3390/iot6040057
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.24
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article

UniTwin: Enabling Multi-Digital Twin Coordination for Modeling Distributed and Complex Systems

Joel Lehmann, Tim Häußermann, Julian Reichwald, Alessa Rache et al.
1 citations
IoT
Digital Transformation in Industry
1.24
article

UniTwin: Enabling Multi-Digital Twin Coordination for Modeling Distributed and Complex Systems

Joel Lehmann, Tim Häußermann, Julian Reichwald, Alessa Rache, F. Kolb
article en
1 citations

Abstract

The growing complexity and scale of Cyber–Physical Systems (CPSs) have led to an increasing need for the holistic orchestration of multiple Digital Twins (DTs). Therefore, an extension to the UniTwin framework is introduced within this paper. UniTwin is a containerized, cloud-native DT framework. This extension enables the hierarchical aggregation of DTs across various abstraction levels. Traditional DT frameworks often lack mechanisms for dynamic composition at the level of entire systems. This is essential for modeling distributed systems in heterogeneous environments. UniTwin addresses this gap by grouping DTs into composite entities with an aggregation mechanism. The aggregation mechanism is demonstrated in a smart manufacturing case study, which covers the orchestration of a production line for personalized shopping cart chips. It uses modular DTs provided for each device within the production line. A System-Aggregated Digital Twin (S-ADT) is used to orchestrate the individual DTs, mapping the devices in the production line. Therefore, the production line adapts and reconfigures according to user-defined parameters. This validates the flexibility and practicality of the aggregation mechanism. This work contributes an aggregation mechanism for the UniTwin framework, paving the way for adaptable DTs for complex CPSs in domains like smart manufacturing, logistics, and infrastructure.

IoTVol. 6(4)
Technische Hochschule Mannheim (DE), University of Mannheim (DE)
Openalex Percentile: Top 15%
Digital Transformation in Industry
1.24
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UniTwin: Enabling Multi-Digital Twin Coordination for Modeling Distributed and Complex Systems — Joel Lehmann, Tim Häußermann, et al. · IoT (2025) | TGRS Research Map | TGRS