Enabling smart maintenance & operational
excellence through predictive edge
Make decisions based on high quality information. Our Rolling Stock is an independent decision support service for operation and maintenance. It help integrate, analyse and visualise all you condition data – giving you access to reliable information to predict failures and estimate remaining useful life of your rolling stock assets.
Enable predictive maintenance on your belt conveyor system to increase availability and efficiency. Predge Conveyor utilizes already available data source and the construction of the conveyor system to predict remaining useful life of key components.
LKAB is the biggest iron ore producer in all of Europe. Due to an increased production of iron ore the challenge is to raise both productivity and efficiency in logistics. Through our help LKAB increased reliability/availability and lowered costs through predictive maintenance and planned maintenance activities.Full LKAB case report
The 1200-kilometre railway between Luleå and Borlänge plays an important part in the SSAB production chain, making reliability vital. We turned a journey paved with unwanted surprises into something predictable, avoiding safety stops due to wheel damages, and planning all maintenance activities.Full SSAB case report
CargoNet is a frequent user of the railroad between Oslo and Narvik in northern Norway. Every 24 hours, 3 trains go in each direction. About 500 wagons are used, transporting 0,4 million tonnes of goods annually – plenty of unwanted opportunities for things to go wrong. We managed to reduce most of them.Full CargoNet case report