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Agenda, Day One: Tuesday 4th December 2018

Maximising Asset Utilisation By Minimising Downtimes And Reducing Maintenance Interventions By Achieving The Right Balance Between Condition Based Maintenance And Corrective Maintenance

08:00 Coffee and Registration

08:15 Chair's Welcome and Opening Remarks

Clive Cashin, Rolling Stock Manager, SERCO Middle East


08:30 Understanding The Real Opportunities And Challenges Of Introducing New Maintenance Technologies Into The Rail Sector.

For the UK rail sector, the period following privatisation saw rolling stock as unreliable, significantly costly, hugely inefficient and providing a low standard of product offering. Things needed to change. Rolling stock experts across the industry were set the challenge to change this position and solve the problems that were attributing to this, which they did, outperforming the expectations significantly. This was the start of the continuous improvement evolution to rolling stock and maintenance.

Now with large volumes of new rolling stock entering the UK rail market, with higher passenger numbers, more journey opportunities, greater passenger expectations, and the continuous drive for lower costs, the challenges we face are as significant as ever, and the rolling stock community are being asked to put their magic to the test once again.

  • Delivering effective maintenance for the future
  • Combining traditional methods, new technologies, better design, and    alternative products
  • Meeting the continuous improvements needed to drive fleet performance across the industry during a time of new build rolling stock introduction, vehicle cascades, enhancement of existing rolling stock and phasing out of legacy rolling stock

Mark Johnson, Engineering Director, Southeastern (RDG Refocus Chairperson)


09:00 Getting The Right Balance Between Condition Based Monitoring And Corrective Maintenance To Act Quickly on Maintenance Issues And Improve Reliability

The technological and financial investment needed to implement sophisticated condition monitoring equipment can be significant. To make the business case for real time monitoring enabled by condition based maintenance, it is important to assess the benefits of monitoring the health of rolling stock without the need of humans, thus avoiding human error and enabling the prevention of breakdowns and comparing this with looking at data you already have.  In this opening panel session, speakers will debate how to strike the right balance between corrective maintenance and preventive maintenance in order to lower costs whilst simultaneously improving services.

  • Learning how to take full advantage of the available technologies for condition-based maintenance
  • Understanding the initial economic impact of introducing a new CBM system in your fleet
  • Evaluating the actual performance improvements delivered by CBM
  • Discovering how cost-effective retrofitting can improve your current system
  • Preventing equipment breakdown and reducing maintenance costs through a balanced, overall strategy

Marco Caposciutti, Director, Technical Department,Trenitalia
A representative of Nomad Digital

9:45  Question and Answer Session

10:00 Case Study

Justin Southcombe, Commercial Director, Perpetuum

10:30    Morning Refreshments In Exhibition Showcase Area


11:00 Performance And Reliability Optimisation Through Predictive Maintenance - How To Optimise The Performance And Reliability Of Your Services By Anticipating And Managing Faults Critical To Your Business In Advance, Before Faults Occur

Historically, traditional rolling stock maintenance was reliant on regular checks, often conducted unnecessarily, leading to lower reliability and reduced availability of assets, as well as increasing staffing and logistical costs. As the industry moves towards use-based maintenance, more and more organisations are basing their maintenance regimes on data relating to actual asset condition instead of mileage or time. But how reliable are those systems? Is it possible to test their efficacy?
How can we use technology to understand when and what to maintain to enable maintenance to be more effective and cost efficient?

  • Identifying the best systems for predictive maintenance
  • Learning what parameters to use to draw an accurate picture of how the system is looking
  • Discovering which test methods are out there to make sure that your systems are working
  • Hearing how to prove to regulatory authorities that your system is secure
  • Improving the overall performance of your maintenance algorithms

Sam Etchell, Senior Project Manager - 4LM ATC Upgrade, Victoria Line
Ken Pipe, Principal Consultant for Remote Condition Monitoring Applications/Condition Based Maintenance,Humaware
Kang Kuen,Lee, Director, Headquarter Support, Sydney Metro Project, MTR Hong Kong

11:50 Question and Answer Session


12:00 How To Interpret The Data To Form A Successful Maintenance Strategy That Improves Efficiency

New technologies can generate a myriad of data, but what kind of data do you really need and how can it best be interpreted, so as to be able to form a robust maintenance strategy? Moreover, how should this strategy be translated into easily accessible information for the maintenance managers?

  • Developing the business case for introducing new technology
  • Recognising which data is important and which is not
  • Discovering which best-performing algorithms are more easily interpretable
  • Finding out whether there are existing simulation approaches
  • Understanding how to form a maintenance strategy from the data analysis.
  • Learning how to communicate your maintenance strategy to the maintenance manager

Richard Lenthall, Regional Account Manager, Voestalpine
Giuseppe Varriale, Senior Technical Manager, Arriva PLC
David McGorman, Digital Director, Unipart Rail

12:45 Question and Answer Session

13:00 Networking Lunch In Exhibition Showcase Area


14:00 Optimise Services And Reduce Cost With Remote Condition Monitoring

Remote condition monitoring can enable you to lower the costs of maintenance over the lifecycle of vehicles by dropping examination times, requiring less maintenance and avoiding human errors. But how do we demonstrate the link between the use of RCM and the improved performance of vehicles? Those case studies will highlight how the use of RCM has enhanced efficiency and cut costs.

  • Discovering what tools are available and their different capabilities
  • Understanding the correlation between investment and efficiency improvement
  • Establishing the pro and cons of different systems
  • Deciding what system is most suitable for your rolling stock

Philippe de Laharpe, Project Manager, Télédiagnostic,SNCF
Lee Braybrooks. Director of Marketing,Trimble Rail

14:45  Question and Answer Session



15:00    Understanding The Potential Of Breakthrough Technologies In Machine Learning And Artificial Intelligence For Delivering Optimised Rolling Stock Maintenance in the Rail Sector

What are the possible applications of the latest IT revolution to improve RSM performance? As these latest technologies advance, there is still limited understanding on how the RSM sector can obtain the same benefits as other industries such as Automotive. This panel will look at the potential opportunities for the rolling stock maintenance sector, as well as discuss how to confront the current barriers to the industrial revolution 4.0.

  • Discovering what diagnostics and maintenance can be done whilst minimising the inconsistency and unpredictability of human interventions
  • Understanding how these technologies can be practically applied
  • Learning how to improve positive staff engagement to change
  • Finding out about new systems of artificial vision to identify physical failures

Dr. Xiaocheng Ge,MSc Course Manager, Institute of Railway Research, University of Huddersfield

15:45 Question and Answer Session

16:00  Afternoon Refreshments In Exhibition Showcase Area


16:30 Case Study: Examples On How Maintenance Digitisation Technologies Are Progressing And Applying Industry 4.0 Robotics Technology To Rail Maintenance

Hear, in this practical case study, how Chiltern Railways has made the most of the new Robotic Technologies available to diagnose and maintain rolling stocks.

  • How to successfully apply new technology, including connected industry 4.0 applications, to reduce manpower and cost and avoid human errors.
  • What Diagnostics and Maintenance can Robots already perform?
  • How difficult is to implement those new technologies?

Simon Jarrett, Head of Technical Services,Chiltern Railways


17:00 Evaluate The Pros And Cons Of Retrofitting Aging Rolling Stock Vs. Procuring Brand New Rolling Stock

Attractive low financing and high maintenance cost coupled with obsolete parts issues, often drives operators into buying new rolling stock rather than retrofitting existing fleets, but is it really the best solution?

  • Making the business case for rolling stock life extension through retrofitting compared with purchasing brand new trains
  • Comparing the lifecycle costs, reliability and the number of faults with retrofitted trains


17:40 Regulatory And Industry Adaptation To Digitalisation Of Maintenance 

The industry now has a significant opportunity to achieve far better reliability, safety and cost savings by introducing new technologies; but in order to be able to reap the full benefits, there is a need to clarify the regulatory and insurance consequences of switching from the manufacturer's manual-based maintenance to condition and predictive maintenance. Are all players aligned, or is more work needed?

  • Establishing what you can, and cannot do
  • Ensuring full compliance in your rolling stock maintenance strategy
  • Hearing what the manufacturers are doing to facilitate strategy changes
  • Learning how the insurance industry is adapting

18:10     Question and Answer Session

18:20 Closing Remarks From The Chair

Clive Cashin, Rolling Stock Manager, SERCO Middle East

18:30  Evening Drinks Reception in the Exhibition Area

18 SEB

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