Communication Dans Un Congrès Année : 2025

Engineering Digital Twins: A Research Roadmap

Résumé

As society transitions from traditional engineered physical systems to software-driven ecosystems, the demand for adaptive, cost-effective, and rapidly evolving technologies continues to rise. Digital Twins (DTs) have recently emerged as a key architectural and conceptual tool to address these needs by decoupling high-level system control and decision making from physical operations. By integrating deductive engineering models with inductive, data-driven insights, DTs offer powerful capabilities for simulation, prediction, and adaptive system management. However, despite their promise, current DT implementations often remain fragmented, domain-specific, and expensive to build and maintain. This paper proposes a research agenda for a structured and principled approach to the engineering of digital twins (EDT), grounded in established software and systems engineering practices. Our goal is to empower the creation of digital twins that are scalable, reusable, and trustworthy. Building on the capabilities outlined by the Digital Twin Consortium, we offer a complementary perspective by identifying key research challenges associated with their integration in the context of digital twin engineering. In addition, we examine the engineering lifecycle of DT systems and present a comprehensive research agenda for the EDT community.

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Dates et versions

hal-05223776 , version 1 (26-08-2025)

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  • HAL Id : hal-05223776 , version 1

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Benoît Combemale, Pascale Vicat-Blanc, Arnaud Blouin, Hind Bril El Haouzi, Jean-Michel Bruel, et al.. Engineering Digital Twins: A Research Roadmap. EDTconf 2025 - 2nd International Conference on Engineering Digital Twins, Oct 2025, Grand Rapids, Michigan, United States. pp.1-7. ⟨hal-05223776⟩
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