Abstract
Digital Twins have garnered significant interest across various industries. However, their applications is predominantly focused on later lifecycle stages, particularly in operational monitoring and predictive maintenance, rather than full lifecycle integration. To unlock their full potential, DTs must be co-developed with the physical system from the early design stages. Embedding Digital Shadows and Digital Twins into digital prototyping workflows enables advanced testing and validation of design decisions, fostering a more adaptive and data-driven development process. Moreover, designing a system with specific constraints to accommodate its Digital Twin ensures a deeper integration between the physical and virtual domains and bridging the gap between design and operation while reinforcing a holistic lifecycle perspective. This paper explores this approach through the design of the Prescriptive Analytics Demonstrator, demonstrating how Digital Twins can influence both product architecture and development processes from the outset.
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Ershenko, D., Brovar, Y., Panayi, A., Fortin, C. (2026). Evolutive Digital Twin Modeling: From Requirements to Detailed Design. In: Mas, F., Del Valle, C., Eynard, B., Rivest, L., Bouras, A. (eds) Product Lifecycle Management. PLM in the Age of Model-Based Engineering in Industry. PLM 2025. IFIP Advances in Information and Communication Technology, vol 772. Springer, Cham. https://doi.org/10.1007/978-3-032-09700-2_12
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