Nokia and Altran is jointly developing solution to optimize and streamline the maintenance of rolling stock for railway operators using IoT (Internet of Things).
This solution combines Nokia’s strengths in IoT, networking and analytics with Altran’s strength in application development, analytics and system integration for railway operations.
Maintenance represents the biggest single operational cost for railway operators, constituting roughly 50 percent of their total operational expense. The maintenance applications railway operators have historically relied on are designed to support rolling stock only from individual manufacturers, making maintenance of their assets cumbersome and costly.
The joint solution from Altran and Nokia is designed to provide predictive maintenance support for rolling stock from all manufacturers, dramatically reducing maintenance overhead for railway operators. Together, these capabilities can deliver up to a 30 per cent improvement in train reliability, a 20 per cent reduction in delays and cancellations and a 10-percent reduction in maintenance man-hours.
Jochen Apel, global transportation segment leader, Nokia said, “Unexpected failures in rolling stock have a huge impact on the operational performance of rail operators. The traditional way of overcoming this is to perform heavy preventative maintenance. The revolutionary approach the Nokia and Altran are taking can greatly reduce this effort and deliver significant cost savings to railway operators.”
Mike Greenan, Rail & Transport Global Industry Director, Altran said, “Predictive maintenance is an opportunity for new and for legacy trains. The combination of Nokia and Altran can help introduce and take advantage of modern technologies to increase the operational performance of the train.”