Digital Twins and Cyber–Physical Testbeds
High-fidelity digital twins for monitoring, simulation, validation, and optimization of manufacturing processes.
Overview
This project delivers digital twin and cyber-physical testbed capabilities to mirror manufacturing systems in software. High-fidelity models enable monitoring, simulation, validation, and optimization for complex production workflows.
Approach
- Build digital twin models that represent machines, process dynamics, and production flows.
- Combine physical testbeds with virtual environments to validate system behavior before deployment.
- Use real-time data and simulation feedback to identify opportunities for process improvement and predictive maintenance.
Goals
- Accelerate design validation with realistic virtual replicas of manufacturing cells.
- Improve process performance by running scenario analysis and optimization in the twin environment.
- Support rapid prototyping of new production strategies with low risk.
Impact
The result is a more transparent and agile manufacturing development cycle, where decisions are driven by validated digital insight and physical testbeds work together to reduce uncertainty and increase confidence.