Virtual Commissioning Example: Test a new control system for conveyor belts in a production facility by using simulation to identify timing errors that would have caused a delay during live commissioning, allowing the team to fix it before real-world implementation.
Risk Assessment Example: Digital twins can simulate equipment performance in a factory, revealing the likelihood of a machine failure before it occurs. By identifying this risk early, maintenance can be scheduled to prevent costly downtime and ensure smooth operations.

Robotics Simulation Example: In a robotics-heavy assembly line, a digital twin models robotic arm movements to identify inefficiencies. The virtual environment allows adjustments to robot workflows without interrupting production, improving both precision and speed.

Ergonomics Simulation Example: A digital twin of a packaging station models worker postures and motions. This simulation identifies awkward movements that could cause injury, leading to ergonomic redesigns that improve worker safety and productivity.

Automated Guided Vehicles (AGVs) Example: Digital twins model AGV routes in a warehouse, helping identify bottlenecks in material handling. The optimized routes reduce travel time and improve overall efficiency in moving materials across the facility.

Material Flow Example: Digital twins help optimize processes by creating virtual warehouse and site replicas. By simulating and monitoring material movement from storage to the production line, real-time adjustments based on demand and inventory levels can minimize delays. Identifying and predicting bottlenecks in the supply chain allows for proactive solutions. and ensure smooth operations at the lineside, reducing downtime.