How Anglo American / Wabtec improved rail and plant throughput through digital twins
Predictive models test scenarios across logistics and processing. Planners choose higher-yield options with lower risk.
Context
Logistics and plant throughput were constrained by complex interactions across the processing chain. Teams lacked visibility into how operational changes would impact overall system performance. This made optimization difficult.
Solution
Digital twin models were developed to simulate different operating scenarios, allowing engineers to test adjustments before implementing them in the real plant. The models incorporated real-time data and predictive capabilities.
Results
The system identified efficiency and throughput improvement opportunities, helping the operation refine bottlenecks and understand impacts before changes were made.
Data Inputs
Sensors, asset telemetry, operational data