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

Tim Flower

Head of Maintenance

Network Rail

Tim joined the rail industry in 2001, initially working on the MIMS Works Management System implementation. In 2004, Tim took over management of data quality for London North West route before moving on to managing on track machine planning and maintenance performance.

In 2009 Tim moved to Maintenance HQ to manage automated inspection projects, including Plain Line Pattern Recognition, working his way up to become Head of Network Operations Programmes in 2015, delivering the Maintenance Effectiveness Programme and leading on national maintenance issues.

Tim was appointed as Head of Maintenance in July 2016, and in July 2017 took on the lead engineering role for the Network Rail Intelligent Infrastructure Programme.

Tim Flower
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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