Train operators across the globe are seeking to maximise the number of trains in service while keeping costs at a minimum. But in order to do this, data analytics and downtime-reducing strategies must be explored.
And while condition based maintenance appears to be the holy grail for effective rolling stock maintenance, questions remain for operators around its successful implementation:
- How do we compile and present a compelling business case to justify the investment in condition based monitoring?
- How do we analyse the huge sets of data coming off the train in a coherent, efficient way?
- Which train data represents the most value for analysis to help us improve maintenance regimes and resourcing?
To address these and more issues, the Rolling Stock Maintenance Summit returns for its 5th edition to deliver cutting edge case studies on the industry's most pressing issues and the twin challenges of predictive maintenance and dynamic scheduling.
Following on from the success of last year's edition, and featuring speakers from countries including the UK, Japan, Italy, France, the Netherlands, Portugal, Sweden and Finland, the summit will reconvene at the Grange St.
Topics to be addressed included
- Data analytics & real time insights - Extract Value From Large Data Sets To Improve Your Maintenance Strategy And Planning Process
- Historical data - Build Historical Data Sets To Provide Analytics Over Time And Retain Legacy Knowledge
- Collaboration - Utilize The Working Relationship Between Data Analysts And Engineers To Maximise The Payback Of CBM
- Maintenance scheduling - Improve Maintenance Turnaround Times And Train Throughput To Optimise Fleet Availability
- Competency management - Implement Competency Management Systems To Enhance Driver And Technical Know How And Minimize Human Error
- Partnerships - Hear From Fleet Operators, Owners And Manufacturers On How To Forge Contractual Arrangements That Reduce Risk And The Cost Of Maintenance