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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

08:45 Chair's Welcome and Opening Remarks

Clive Cashin, Rolling Stock Manager, SERCO Middle East


09:00 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)


09:30 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 these contrasting 2 case studies, 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 Mexico City Metro


10:00 Digitalisation And Expertise: Pushing Performance Forward

  • Background and market size and potential;
  • The effort to enter the digitalisation era - for different asset types;
  • IoT and Digitalisation : Use case and drivers;
  • Going IoT: Estimate your ROI ;
  • Maintenance strategies :
  • Articulated use of FMEA and Remote Condition Monitoring;
  • When Corrective Maintenance is the most efficient solution ;
  • Performance results ;
  • Reliability  a nd Condition Based Maintenance;
  • Final thoughts and conclusion;

Pedro  Conceição, CBM Technical Sales Consultant, Nomad Digital

10:15  Question and Answer Session


10:30 Using Tech To Drive Commercial Innovation And Increased Availability

  • Understanding how asset information supports business decisions and possible benchmarks
  • Highlighting the scale of trapped opportunity in current business practices
  • Details of a new "flat rate" business model for wheel bearings that puts availability first
  • Win/Win/Win opportunities for operator, OE supplier and Perpetuum

Justin Southcombe, Commercial Director, Perpetuum

10:55  Question and Answer Session

11:00    Morning Refreshments In Exhibition Showcase Area


11:30 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

Kang Kuen Lee,  Professor of Transportation Practice, Department of Electrical Engineering, Hong Kong Polytechnic University

12:00 Question and Answer Session


12:10 p-RCM - An Example Of Why It Is A Breakthrough Technology Powering Predictive Maintenance

Ken Pipe, Principal Consultant for Remote Condition Monitoring Applications/Condition Based Maintenance, Humaware

12:25 Question and Answer Session


12:30 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

12:30 Statistics In Process & Maintenance Control

A simplified guide to the statistical Analysis of Rolling Stock data to drive Asset Performance and Maintenance Optimization.

  • Maintenance Control and Asset Performance Improvement Cycle
  • Possible sources of data
  • Data Collection
  • Maintenance Control
  • Justifying Change
  • Continued Commitment

Giuseppe Varriale, Senior Technical Manager Rolling Stock & Depots, Arriva PLC

12:50 Unipart Rail's Condition Based Supply Chain

Digital technology has been transforming business practices and processes for some time and the Industrial Revolution 4.0 is having a huge impact on all commercial sectors including the rail industry.
Our integrated Condition Based Supply Chain is the seamless management of real- time data and information, combined with multiple data sources relating to the asset, to deliver increased operational efficiencies and maintenance savings. This solution brings together several existing and emerging technologies and capabilities into a complete Digital Eco-system.

Dr David McGorman, Digital Director, Unipart Rail and MD, Instrumentel

13:05  Maintenance Strategies Based On Wayside Monitoring Data.

Condition based maintenance using acoustic monitoring at DB AG

Mr Manfred Arndt, CEO and Founder, voestalpine SIGNALING Siershahn GmbH

13:20 Question and Answer Session

13:30 Networking Lunch In Exhibition Showcase Area



14:30    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

14:50 "Success As A Service": The Disruptive Business Model For Digital Railways

  • Why a Software as a Service (SaaS) business model is nowadays obsolete and a risky investment for a railway authority?
  • What are the main risks of a digital transformation process focused on predictive maintenance implementation? 
  • How can a railway authority avoid those risks and make the step forward with guarantees?

Alvaro Jose Zevallos Roman, Business Development Director, NEM Solutions

15:15 Question and Answer Session


15:30 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

Matthijs Suurland, Product Owner Real Time Analytics,  Dutch Railways

16:00  Question and Answer Session


16:15 Real-Time Remote Diagnostics And Proactive Condition Monitoring-The Role Of Data In Effective Rail Asset Utilization And Maintenance Cost Reduction

The focus of rail asset lifecycle management technology (which encompasses real-time remote diagnostics and proactive condition monitoring) is the automated collection and analysis of data to allow for high performance asset management and planning, allowing train operators to increase utilization and reduce maintenance costs.
The lifeblood of these solutions is actionable intelligence derived from the processing of the abundance of raw data available from sensors on-board and wayside.
Drawing on recent project examples from across the European passenger and Australian freight sectors, this presentation will look at the benefits of rail asset lifecycle management and demonstrate how many customers are deriving real value from these solutions.

  • An introduction to real-time remote diagnostics and proactive condition monitoring.
  • Demonstrating how effective use of technology can increase rail asset utilization and reliability.
  • Customer examples of Trimble Rail's suite of rail asset lifecycle management solutions.

Lee Braybrooke Director of Marketing, Trimble Rail

16:25 Question and Answer Session

16:30  Afternoon Refreshments In Exhibition Showcase Area


17:00 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

17:25 Question and Answer Session

17:30 Closing Remarks From The Chair

Clive Cashin, Rolling Stock Manager, SERCO Middle East

17:40  All Attendee Networking Drinks Reception in the Exhibition Area, Sponsored By Perpetuum

RSM17 Group Discount

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