Imagine having a living, breathing video game version of your construction project that knows not only where every element will be built (3D), but also when (4D – schedule) and how much it will cost (5D – budget). This paper validates a framework where that digital twin continuously runs simulations to predict delays, clashes, or overruns before they happen, so managers can adjust plans proactively instead of reacting on-site after problems appear.
Construction projects routinely suffer from schedule delays and cost overruns because planning and progress control are static and reactive. This work addresses the need for proactive, predictive control by integrating 4D (time) and 5D (cost) data into a digital-twin that can be validated via simulation, allowing early detection of risks and more reliable execution.
If industrialized, a defensible moat would come from proprietary integrations between BIM/4D/5D data, simulation engines, and historical project datasets that make its predictive control models more accurate than generic planning tools.
Unknown
Unknown
High (Custom Models/Infra)
Real-time synchronization between BIM models, schedule/cost data and simulation runs is computationally heavy and can limit scalability to very large projects or frequent re-planning cycles.
Early Adopters
Compared with traditional 4D BIM or standalone scheduling tools, this framework explicitly couples 4D/5D BIM with simulation-based validation for predictive control, positioning it closer to a true digital-twin that can test control strategies virtually before deployment on-site.