Maximize Rolling Stock Availability With Dassault Systèmes

For rail service operators, maintenance engineers, and technology innovators, having a complete understanding of operational equipment is critical to assessing how assets and resources perform across various scenarios. By integrating data science and AI-powered virtual twins, rolling stock performance can be revolutionized to enhance efficiency, reliability, and customer satisfaction.

Why Attend?

Discover how data science and virtual twin technology powered by AI can transform rolling stock management in the rail transport industry.

Key takeaways include:

• Optimize Rolling Stock Management: Gain precise control over asset variability and component performance to achieve operational excellence.
• Life Extension Programs for Aging Assets: Leverage Virtual Twins to accelerate and enhance the deployment of asset life extension initiatives.
• Predict Breakdowns, Minimize Downtime: Use predictive analytics to prevent costly disruptions and improve service reliability.
• Streamline Maintenance and Repairs: Plan and prioritize maintenance effectively to reduce delays and inefficiencies.
• Develop Future-Proof Maintenance Strategies: Apply insights from current activities to create sustainable solutions for next-generation rolling stock.

A More Sustainable Rail Future

This webinar provides a roadmap for transforming rolling stock performance management with technology. Improve customer experience while contributing to a sustainable future for rail transport. Register today!