// identify with email mootrack('identify', 'john@doe.com'); // identify with email and name // commented out as you need to choose one of these calls only //mootrack('identify', 'john@doe.com', 'John Doe');
top of page

AGENDA: Day Two, Thursday 16th March 2023

9:00 AM


Rebuilding the Process of Maintenance, Optimising Maintenance Policies for Scheduled and Predictive Maintenance to Deliver a Mix of Maintenance Strategies

“Predictive maintenance will add complexity to the systems. Every time you have an intervention which is asked by predictive maintenance you add a variable to the scheduling process which is not covered at the time in the maintenance policies and almost not in the research today. We are researching scheduled maintenance optimization or predictive maintenance optimization, but not both together and both together is the right approach to do in the right way. ”

• Remodelling the process of maintenance to exploit the deployment of predictive maintenance in rolling stock maintenance processes
• How are operators introducing new digital systems and engineering methodologies to aid the shift from preventive and reactive maintenance into a mix of preventive predictive and reactive maintenance
• Building collaborative partnership to increase the pace of research into maintenance policies to deliver a better integration of predictive maintenance in fleet operations
• Is it possible to replace scheduled maintenance with predictive maintenance or is a mix more desirable to refine the interaction with the train during maintenance

Paul Staples , Fleet Safety and Service Delivery Director, First Transpennine Express Ltd

Keith Mack, Quality Standards Manager, London North Eastern Railway (LNER)

10:00 AM

Developing Management Systems Within Train Operations, Building Digital Systems to Keep
Engineering Knowledge In-House Knowledge

“We are trying to create a platform because we have people who have been in the railway for 20-30 years. We also have people who have joined recently. So now the question is how to share that knowledge of the experienced people. We look at what knowledge they know that is not documented in the manual so this can be stored in the platform that can be shared with the younger people, and whenever an incident happen you want to capture this information and input this into the knowledge management platform”

• How are rail companies preserving and capturing the knowledge of experienced engineers to
• safeguard critical knowledge is retained within the organization
• Implementing knowledge management to improve training for newer recruits
• The benefits of capturing and documenting information to drive continuous improvement and
• recording lessons learned from experienced engineers
• How are operators documenting the benefits of maintenance data, experience of the engineers and
statistics analysed over time to improve asset performance


Janan Shanmugaratnam, Specialist Engineer, South Western Railway

11:00 AM

Optimising the Relationship Between Fleet Management & Maintenance to Deliver the Optimal Resources Required for Each Maintenance Job

“In my opinion, the area we should put the most effort is in the in-house space between the fleet management and the maintenance to have scheduled maintenance slots for the fleet. We have time slots with people staffed with infrastructure and technology, we must find together the best way to fit each other and therefore we need some digital support. We must know what's wrong with the trains, what failures are on the train, so we can do the best preparation to bring the right materials to the train and to have the right people for maintenance activities”

• What are the key requirements for the maintenance department to increase productivity and save time in maintenance activities
• Integrating systems between fleet management and maintenance to improve maintenance awareness of the train and time it arrives in the maintenance plan
• How are train operators reforming the in-house interface between fleet management and the maintenance department to improve productivity in maintenance servicing
• What processes are operators introducing to make sure maintenance is better informed on incoming trains and timings in the maintenance plan
• Implementing standard I.T interfaces to share failure data between fleet management and maintenance, getting resources to the right place at the right time

Leeanne Matuszczyk, Fleet Maintenance Manager, TransPennine

11:30 AM


Financial Implications and Tangible Benefits of Implementing Sensor Devices to Collect Real Time Data of Critical On-Board systems

“So, one of the things that I really am keen to do, especially here is to convince management about the benefits of implementing sensors for rail maintenance data, having lots of instrumentation on the trains, and using the data that is generated to improve the maintenance. I will give you an example. A number of rolling stock manufacturer are now producing systems to monitor the trains, right, but when it comes to the financial perspective, to understand how this solution is going to help my maintenance activity, to reduce my maintenance cost and the actual tangible benefit. This is still a challenge to do and especially here in Saudi Arabia, we have implemented these solutions, but still haven’t been able to quantify its benefit into the maintenance contract”

• Strategies for convincing stakeholders of the benefits of investing in digitalization to deliver the changes required to refine maintenance processes
• The value of getting early failures on the train, improving planning, preparing the right people, materials in the forecast to increase productivity in maintenance activities
• New solutions to extract more sensory information like heat sensors or motor sensors for the doors, retrieving information directly from train systems to get more fleet data
• How are operators implementing interfaces into the trains to send failure information to the maintenance team ahead of maintenance scheduling
• Real world experiences, demonstrating the pay back in corrective and predictive maintenance strategies through investments in sensors for fleet monitoring
• Digital solutions to help operator incorporate information from measurements into sensor information to reduce maintenance activities on the train

Benjamin Parry, Head of Fleet Performance and Planning, Greater Anglia

Christian Daniel Maintenance Innovation Project Leader, SNCF

12:30 PM


Getting Data On-Shore - Processing ICNG OT Data by NS IT Systems - Lessons learned

• How are operators demonstrating the capital investment in IoT and similar systems to deliver a net saving, increase reliability or reducing maintenance cases
• What are the specific challenges in implementing AI, IoT or machine learning to improve reliability of legacy fleets as opposed to newer fleets
• How is digitalization helping operators to optimise the use of fleet data, improving data analysis using digital tools increasing efficiencies in maintenance servicing
• Risk Management for future IT systems, strategies to help mitigate potential obsolescence risk and rising cost with 3rd party I.T platforms


Meinte Wildschut, Project manager IT Asset Management, NS

2:00 PM


Increasing Industry Collaboration, Sharing Knowledge to Improve the Adoption of Condition Based Maintenance, Analysing Past Failure Data and Classifying Assets

“Condition monitoring is not cheap. The capital cost is quite expensive, you cannot monitor everything, you cannot monitor all the critical systems yet and the important thing here for condition monitoring is you need data, you need time, somebody that investigates the normal working condition of the asset”

• What are the critical factors required to advance condition monitoring, considering the volume of data, time and resources required to analyse the asset in working condition
• How are operators working together to improve integration by sharing best practice on implementing condition monitoring onboard components on rolling stock fleets
• Analysing past failure data to identify failures that resulted in fleet withdrawals to limit the impact to rail services for customers
• What other critical factor are operators using to identify defects in past data and introduce improvements to their current maintenance processes
• Setting different alerts based on the failure baseline to increase the reaction time before a main line failure, increasing reliability and reducing costly service delays

2:45 PM


Introducing New Monitoring Technologies to Improve Reliability and Recoverability of Legacy Fleets During the Mid Life Refurbishment

“15 years ago, technology was very different from now, so we want to implement some new technology.
The other thing is reliability, we are looking at why some subsystems on the train are not so reliable, for example, we had a air condition system, we spent over a year trying to improve the machine component and buying new components and the new component also failed. So we thought it’s time to change to a different brand, maybe another model of air con is more reliable. So, now, you want to input reliability into the condition monitoring. So, to input reliability, we also need a lot of technology, you need a lot of data, introduce new sensors, new processor on the train, technology to transmit the data to the Operation Control Centre”

• Weighing up the cost of investing new technology in legacy fleets to improve reliability and passenger comfort against the asset life benefits
• New sensors and digital systems to improve monitoring, asset life cycle management and reliability in operations and maintenance
• Extending the mean distance between wheel reprofiling, what solutions are operators implementing to increase the distance between reprofiling of their wheels
• Systems to improve recoverability, saving time and improving safety in fleet operations
• Solutions to improve the maintenance of HVAC systems on-board the rolling stock, modifying HVAC systems to mitigate rising temperatures


Keith Mack, Quality Standards Manager, London North Eastern Railway (LNER)

Smart Fleet Maintenance

Smart Fleet Maintenance 360 Summit 2023 
Advancing The Digital Economy in Rolling Stock Maintenance

Mary Ward House, London
15th -16th March 2023

Who Attends our Rail Events

DB Netze
Network Rail
RFI Italy
Irish Rail
Eesti_Raudtee_Logo EVR

Subscribe to get exclusive updates

Thanks for subscribing!

Sponsors & Media Partners

bottom of page