Current Research
Signalling is one of the most significant parts of railway safety and operational efficiency, ensuring that trains move safely and smoothly across the network. Telecoms support real-time communication between trains, maintenance teams and control centers. The performance of telecoms asset involves not only the equipment's physical reliability, but also multitude of factors, including life cycle, maintainability, and workforce competency levels, all of which can lead to obsolescence. Obsolescence closely related to spares management policy, due to outdating of asset components that can cause downtimes, unreasonable maintenance and at last ineffective operation of the system.
During this PhD project, my target is to create an obsolescence modelling framework for asset management of railway signalling and telecoms systems, that includes spares planning, considering regional differences and workforce. In addition, I am developing a vision to specify a multi-objective model structure aimed at balancing whole-life cost, safety, performance, sustainability and maintenance.
Before I started the PhD research journey, I graduated Master's diploma as an engineer of railway stock at Dnipropetrovsk National University of Railway Transport in Ukraine. Solid background of railway rolling stock helps me to understand and proceed with current project. Furthermore, I had experience working as Engineering Specialist at JSC Ukrainian Railway, that developed my skills in data analyzing and making different types of reports.