Digital twin–driven optimization of manufacturing operations using real-time sensor data
A digital twin-inspired optimization model, which combines real-time sensor measurements with smart decisions to improve operational efficiency, is introduced, which provides a high-scaled and realistic approach to intelligent, data-driven manufacturing systems that align with the Industry 4.0 paradigms.