Events
Predictive analytics to inform maintenance planning
Address:
Room C14, Pope Building, University of Nottingham, University Park, Nottingham NG7 2RD
United Kingdom
Date & Time:
03 July 2025
17:30 - 19:30 BST
Category
Regional / Branch Event
The University of Nottingham is an internationally renowned centre of excellence in transportation engineering, and its researchers perform groundbreaking studies into asset management for railways and roads. Join us for an evening with three of the university’s researchers looking at BIM, predictive analytics and decision-making and applying this to key asset management challenges.
Speakers:
Emily Buttriss holds a degree in Mathematics from the University of Nottingham, where she is currently applying the data analysis techniques developed in her undergraduate studies to a PhD research project, funded by UK rail operators HS1. The research aims to improve the asset management strategy of railway components by exploring and optimising the renewal process.
Maksym Ocheretniuk has five years of experience in the Ukrainian railway industry, specialising in locomotive fleet management. He is currently pursuing a PhD at the University of Nottingham, aiming to improve locomotive fleet management by addressing the wheelset—the component most vulnerable to wear and defects—as the key determinant of locomotive safety and operational reliability.
Retno Utami is a third-year PhD researcher in Civil Engineering at the University of Nottingham. Her research focuses on applying BIM to improve the pavement management system. Currently, she is developing a prototype that links a spatial database, a BIM environment, and analysis tools to support decision-making in highway maintenance.
Agenda:
17:30 – Refreshments and networking
18:00 – Introduction (David Lyons, IAM Midlands Branch Chair)
18:10 – Renewal Scheduling for Railway Assets (Emily Buttriss)
It is imperative in financial planning to know when a railway asset will require a renewal, so that adequate funding can be provided when needed without overcharging rail operators for the service. The aim of this project is to predict when wear-out of an asset has been achieved, given an implementation of various renewal criteria. The project can be used as a decision-making tool by track engineers, to aid in appropriate allocation of resources as well as improving the efficiency of renewal scheduling.
18:30 - Locomotive asset management (Maksym Ocheretniuk)
Locomotive asset management is an important area of investigation aimed at improving the safety, reliability, and availability of railway operations. The project aims to develop more effective and cost-efficient maintenance strategies that extend the useful life of wheelsets and reduce unplanned downtime. By combining engineering expertise with data-driven analysis, the project supports better decision-making in fleet management and contributes to more reliable and efficient railway operations.
18:50 - BIM in Pavement Management (Retno Utami)
This presentation shares the early development that explores how Building Information Modelling (BIM) can be used to support pavement management. This work looks at how BIM can connect condition, cost and treatment data into one model. The prototype also uses database links and automation tools to support smarter maintenance planning without replacing current GIS practices.
19:10 – Q&A/discussion
19:30 - Close
Location information:
Room C14, Pope Building, University of Nottingham, University Park, Nottingham NG7 2RD
The Pope Building is number 27 on the campus map. Enter via entrance 2 of the Coates Building (building 36) and walk through to the Pope Building: University Park Campus map, University of Nottingham
By car: Parking is available in one of the areas located off the Science Road, which is just south of the Coates Building.
By tram: The Pope Building is a ten-minute walk from the University of Nottingham tram stop.
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