Abstract Precast concrete production is increasingly shifting from construction sites to factory environments, yet remains far from fully industrialized or digitally integrated. Processes are still largely craft‐based, with automation limited to isolated tasks. A key obstacle is the lack of consistent, machine‐readable, and lifecycle‐spanning data models. Although Digital Twin (DT) concepts have proven effective in manufacturing, their adoption in precast production is challenged by heterogeneous processes and fragmented information flows. Without adaptation, DTs risk remaining isolated solutions rather than enabling system‐wide integration. Within the Priority Program SPP 2187, DT concepts for precast concrete production were developed and refined. This paper consolidates the resulting advances. Based on the Asset Administration Shell (AAS), modular ontology‐based data models integrate planning and production and are extended to support lifecycle updates, manage production‐induced deviations, and integrate sensor and resource data. The contribution highlights key architectural and methodological challenges in transferring DT concepts to construction.
Kosse et al. (Tue,) studied this question.