Automated Design Change Management System
Streamlining design change management for rapid development cycles

The Challenge
Managing the rapid evolution of CAD data while ensuring CAE teams can efficiently analyse and provide feedback on hundreds of load cases presents a significant challenge. Traditional CAD/PLM-based tracking methods are often not suited to the fast-paced development process, leading to friction in synchronising design changes with CAE workflows. As a result, critical engineering decisions can be delayed, impacting development timelines and efficiency.
The Solution
To address these challenges, we implemented an automation-driven approach that shifted CAD evolution tracking from the CAD/PLM domain to the CAE environment. This provided CAE teams with greater control over the process while minimising reliance on manual tracking. The automated system handled PLM data mirroring, design change tracking, and structured downstream actions, ensuring seamless integration between CAD and CAE environments.
Our Approach
Audit & Identify
Analysed existing CAD-CAE synchronisation challenges, identifying inefficiencies in manual tracking and data management.
Develop & Prototype
Designed an automated system for PLM data mirroring, change tracking, and structured downstream actions.
Test & Integrate
Implemented cross-platform synchronisation and automated change detection, refining the system with early user feedback.
Deploy & Train
Rolled out the solution across CAE teams, providing training and documentation to ensure smooth adoption.
Monitor & Improve
Continuously optimised workflows, enhancing data visualisation and refining automation based on user feedback.
Results
- ✓Improved traceability and data consistency across CAD and CAE teams
- ✓Reduced manual effort by automating synchronisation and change tracking
- ✓Enhanced decision-making with clear, well-visualised outputs
- ✓Seamless integration with third-party CAD software, ensuring continuous data updates
“This automation has streamlined our CAD-CAE tracking, providing better control over evolving designs while reducing manual workload and improving data integrity.”
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