Train operating companies across the globe are now collecting overwhelming quantities of data, yet there still remains the challenge of integrating an awareness of asset conditions with operation and maintenance schedules and improving the quality of data.

TOCs must evolve organisational structures and supplier partnerships and adopt decision-making support systems to enable dynamic scheduling and condition-based maintenance to be executed at the lowest possible cost.

In addition, TOCs must prove the business case for each gradual investment in monitoring tools and devices, especially across ageing fleets. In addition the procurement of new rolling stock causes questions around train design and workshop modifications.

Each of these topics is to be addressed by leading engineering directors and maintenance professionals, on behalf of TOCs and ROSCOs from across Europe.

As the 4th annual event in the series, the Rolling Stock Fleet Maintenance Cost Reduction Congress is trusted by organisations across the world to deliver the very latest success stories and innovation.

Overcoming Organisational And Scheduling Challenges To Fully Leverage Big Data And Implement Condition-Based Maintenance

Adopting Algorithms And Dynamic Scheduling To Reduce The Frequency And Cost Of Performing Maintenance

Benchmarking The Latest Decision Making Support Systems To Aid In Scheduling And Balance Maintenance With Operational Requirements

Identifying Best Practices For Monitoring And Maintaining Wheels And Bearings To Improve Fleet Reliability

How Workshop Modifications And New Train Design Can Ease The Integration Of Modern Rolling Stock Into Maintenance Plans

Bringing TOCs, ROSCOs And Manufacturers Together To Forge Contractual Arrangements That Reduce Risk And Cost Of Maintenance