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Smart Fleet Maintenance Summit

Improving the Circular Economy of
Rolling Stock Maintenance

 

16th & 17th November 2021, London

Virtual Event: Watch Live + Content Available On-Demand for 12 weeks

Speakers

Fabien Turgis

Research Engineer, Predictive Maintenance System for Railway Rolling Stock

SNCF

Pierre Audier

Research Engineer, Predictive Maintenance System for Railway Rolling Stock

SNCF

Meinte Wildschut

Project Manager

NS (Nederlandse Spoorwegen)

Mark Johnson

Engineering Technology and Contracts Director

Southeastern Railway

Kristijan Apostolski

Project Manager, Continuous Improvement

Great Western Railway

Neil Robertson

Chief Executive Officer

The National Skills Academy for Rail (NSAR)

João Grossinho

Head of Rolling Stock

Fertagus - Grupo Barraqueiro

Sergio Barcena

Director of Operations Planning and Maintenance

Ouigo Spain

Fabrizio Sandrelli

Manager, Maintenance Planning and Control Center

Alitalia Società Aerea Italiana S.p.A.

Goffredo Danna

Manager, Engines Engineering Dept.

Alitalia Società Aerea Italiana S.p.A.

John Doughty

Engineering Director

London North Eastern Railway

Tadashi Ono

Senior Manager

East Japan Railway Company

Sami Kalevirta

Head of Digital Services

VR FleetCare

Juliette van Driel

System Manager WTMS and Real-time Monitoring

ProRail

Danilo Sorrentino

Head of Vehicle-Track Interaction Section

SNCF RÉSEAU

Mercedes Gutierrez

UIC Infrastructure & TTI Senior Advisor

UIC

Urs Gehrig

Senior Consultant, Corporate Development

SBB CFF FFS

Johann Schachtner

Solution Manager, Industry Business Unit Travel and Transportation

SAP SE

Marco Caposciutti

Technical Director

Trenitalia

Curtis Wood

Data Scientist in Maintenance Division

VR FleetCare

Dr Tony Lee Kar-yun

Operations Director

MTR Hong Kong

Dave Hatfield

Fleet Director

Grand Central Railway Co Ltd.

Industry Perspectives

"We have implemented technology over the years which hasn't realised its full potential. The technology is not built around the way in which we organise ourselves as a business or the way in which we generally operate. So, do you change the organisation to match the technology that's being provided? Or do you want the technology that aligns with the way in which you operate as a business? How do you get something that's fully embedded fundamentally working well for you? I think that's quite a difficult piece.”

 Head of Asset Condition,
London Regional Metro Operator

 

“The biggest challenge for the future is to deliver a preventive maintenance strategy in rolling stock operations. That's only possible with pattern recognition, big data and analytics that come from the train. If we're able acquire data over a longer period of time we will be able to optimise our maintenance plan significantly to save costs.  It's very difficult to do this without data and you need to be very brave to take decisions, for example to skip some scheduled replacement of an element without enough data.”

Program Manager New Rolling Stock, National Passenger Operator, Belgium

“People have been talking about predictive maintenance for years. It seems that there are very few successful cases that have been showcased in the industry. I think it would be great to discuss what we have done so far in this area and what are the pain points today, where and how the industry has been able to overcome those pain points to be successful in the predictive maintenance approach.”

Chief RS Asset Development Manager, National Passenger Operator,
Hong Kong