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The rapid growth in the domain of Digital Twins has resulted in increasing necessity for the composition of multiple Digital Twin models to represent complex systems. However, this composition poses significant challenges not adequately addressed by current methodologies. Interoperability is one of the primary concerns that occurs during the process of composition. This position paper critically explores current approaches to DT model composition and its correlation with interoperability, identifies the key challenges in the domain, and discusses what further research is required in each challenge. It examines the gaps between currently available solutions and requirements and considers potential approaches that may be extended to address the gap. This paper is believed to further advance the understanding and implementation of composite DT models for complex systems.

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Challenges in Composite Digital Twin Models and their Impact on Interoperability

  • 会议论文

  • 发表日期：

    2025年

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  • Umar Memon,
  • Wolfgang Mayer,
  • Markus Stumptner,
  • Matt Selway

摘要

The rapid growth in the domain of Digital Twins has resulted in increasing necessity for the composition of multiple Digital Twin models to represent complex systems. However, this composition poses significant challenges not adequately addressed by current methodologies. Interoperability is one of the primary concerns that occurs during the process of composition. This position paper critically explores current approaches to DT model composition and its correlation with interoperability, identifies the key challenges in the domain, and discusses what further research is required in each challenge. It examines the gaps between currently available solutions and requirements and considers potential approaches that may be extended to address the gap. This paper is believed to further advance the understanding and implementation of composite DT models for complex systems.