The article explains digital twins in heavy manufacturing as the next step in smart factories: a continuously updated virtual representation of a physical asset, process, or system that fuses engineering models and simulations with real-time sensor data to mirror the physical system’s behavior.
Which area of your operations would you prioritize for a digital twin—individual asset health, specific process optimization, or full production-line orchestration?
Digital twin can be defined as the virtual representation of a physical asset, process, or manufacturing system that receives continuous updates from the real-time operation data. It uses the combination of engineering models and simulation tools with sensor data to create a digital environment that represents the realistic behavior of the physical system.