PARTNERS 2018

Siemens

PREDICTIVE MAINTENANCE PARTNER

DB

IoT PARTNERS

IBM Tyrens

CO-SPONSORS

Fugro

Close Networking Opportunities

Meet Senior Decision Makers From:


  • Network Rail
  • CrossRail
  • Transport for London
  • Banedanmark
  • Ministry of Transport & Communications
  • Athens Urban Rail Transport

With The Following Job Titles...


  •     Head of Track
  •     Director of Maintenance
  •     Asset Managers
  •     Track Section Managers
  •     Safety Managers
  •     Head of Quality
  •     Track Maintenance Engineer
  •     Route Asset Manager
  •     Infrastructure Programme Director
  •     Senior Project Manager
  •     Maintenance Performance & Reliability
  •     Programme Improvement, Integration & Delivery
  •     Reliability Improvement
  •     Asset Management Competence

Exhibition Opportunities

A tailored exhibition package at the Track Maintenance & Data Utilisation 2018  will provide a direct, cost-effective path to help you get your message out to existing or new target track infrastructure managers from countries such as the United Kingdom, Japan, Belgium, Italy, the Netherlands, Sweden, Finland, Morocco and many more.

Once we understand your specific business objectives, including marketing goals, we can leverage the power of our individual congress brand to work to your advantage.

To discuss sponsorship opportunities in more detail, please contact:

sponsorship@lbcg.com

+ 44 (0) 203 727 3100

Siemens

Siemens

Siemens Mobility Services

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DB Engineering & Consulting GmbH

DB

DB Engineering & Consulting GmbH will be Predictive Maintenance Partners for this year's event.

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IBM Sweden

IBM

IBM Sweden will be IoT Partners at this year's conference.

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Tyréns

Tyréns

Tyréns will be IoT Partners at this year's conference. Click...

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Fugro

Fugro

Fugro will be exhibiting at the Track Maintenance & Asset Management Congress 2017.

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TMS EB

Key Themes

Sessions will include:

Utilising Predictive Maintenance And Implementing Innovative New Technologies
Sharing Results On Successfully Predicting Infrastructure Failures
Handing And Managing Big Data To Predict Infrastructure Deterioration
Evaluate Infrastructure Inspection Methods And Ensure Quality Assurance And Control
Utilising Data To Reduce Manual Surveys And Infrastructure Inspection
Artificial Intelligence And Machine Learning For Deep Maintenance Data Utilization
Integrating IOT Applications
Detect And Predict Climate Related Track Events And Increase Security & Safety Of Transport
Trackside Monitoring Technologies
Automation and Robotics Technologies For Inspection
Predictive Analytics Of Switches And Crossings
Efficient Planning Of Tamping
Planning Tools To Improve Manpower Scheduling And Reduce Workman Fatigue
Developing Safe Working Strategies
Successful Application of Mobile Maintenance Trains and Other Mobile Applications in the European Rail Industry
Asset Management And Management Of Deterioration
Outsourcing Or In-House? How To Get The Best Possible Yield From The Market
Continuous Improvement On Managing Human Factors And Safety in Track Maintenance
Building Collaboration And Communication Links Between European Railway Infrastructure Organizations

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