PARTNERS 2016

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CO-SPONSORS

NEM nexala Rail Services OSIsoft Danobatgroup siemens

NETWORK BREAK SPONSORS

CLYENT mechan

WHO SHOULD ATTEND

Meet Senior Decision Makers From:


  • UK Fleet Operators (TOCs)
  • UK Fleet Owners (ROSCOs)
  • European Fleet Operators
  • Asian Fleet Operators

With The Following Job Titles:


Heads, Directors And Senior Managers Of:

  • Engineering
  • Rolling Stock
  • Fleet
  • Maintenance
  • Asset Management
  • System Integration
  • Depot
  • Technology
  • Operational Standards
  • Innovative Technologies
  • Continuous Improvement

Plus:


  • Train Manufacturers
  • Maintenance Companies
  • CBM Technology Companies
  • OEMs
  • Asset Management
  • Consultancies

FEATURING LEADING GLOBAL RAILWAY OPERATING COMPANIES:

Takumi Ishii

Takumi Ishii

Deputy Director

Japan Railways East Group, Paris Office (Japan)

Héloïse Nonne

Héloïse Nonne

Head of Data Science

SNCF Direction Digital (France)

Jouko Järvinen

Jouko Järvinen

Operations Manager, Maintenance Division

VR Group (Finland)

Paolo Masini

Paolo Masini

Director of Rolling Stock Engineering & Maintenance

Trenitalia (Italy)

Gustav Sjöberg

Gustav Sjöberg

Maintenance Manager

TBT Stockholm AB (Sweden)

Steve Foot

Stephen Foot

Head Of Asset Condition, Maintenance Engineering

London Underground-TfL (UK)

João Grossinho

João Grossinho

Director of Maintenance

Fertagus (Portugal)

Wan-Jin Lee

Wan-Jui Lee

Data Scientist

Dutch Railways (Netherlands)

Jan Luijben

Jan Luijben

Information Manager

GVB Amsterdam (Netherlands)

Paul Edwards

Paul Edwards

Fleet Manager

London Overground (UK)

Rolling Stock Fleet Maintenance

Harness Complex Performance Data Sets & Make The Shift To CBM

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. Paul's Hotel, London this 7th & 8th of December 2016.

TOPICS TO BE ADDRESSED INCLUDE:

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

https://www.london-business-conferences.co.uk/c605/5th-annual-rolling-stock-fleet-maintenance-2016/

WHY ATTEND?

As The 5th Annual Event In The Series, This Is The Forum Trusted By Fleet Operators Across The Globe

  • Business Benefits Of CBM: Practical rather than theoretical success stories from Fleet on how to execute condition-based maintenance
  • Data Standardization: Case studies outlining data standardization & analytics strategies to drive efficiency and clarity in CBM
  • Continuous Improvement: Methodologies to optimize people, process and technology to consistently realize maintenance operations improvement
  • Operator-Led: Fleet operators and owners delivering unbiased experiences of using technology and changing processes - no sales pitches
  • Big Data And CBM Focused: Examples of how to maximise the potential of big data and make CBM a reality
  • Global Scope: Industry-leading presenters from Europe and around the world

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