Researcher: Christer Stenström, Aditya Parida & Uday Kumar
Duration: 2010 – 2013
To manage the railway infrastructure assets effectively against agreed and set objectives, the effect of maintenance works must be measured and monitored. Different systems are used for collecting and storing data of traffic, failures, inspections and track quality data, etc., for analysis and exchange of performance indicators (PIs) for RAMS, capacity, punctuality etc, to identify performance killers and in making more efficient and effective decisions. A link and effect model can provide information regarding performance killers and cost drivers, it increases the knowledge of how railway systems and components are interlinked, facilitating accurate decision making, for efficient and effective railway infrastructure operation. The objective has been to develop a link and effect model to improve the total effectiveness of the maintenance system for the railway infrastructure.