CUSTOMER CASE
LKAB
From reactive to predictive
From their mines in Northern Sweden, LKAB has an annual iron ore production of 30 million tonnes, making them the biggest producer in all of Europe. The iron ore is transported with a fleet of 30 locomotives and 1300 wagons with 32,5 tonnes axle load, from the Swedish city of Luleå to the ports of Narvik in Norway – a 473 kilometers single track.
%
86% reduction of wheel bearing failure
Predictive maintenance reduces disruptions.
Smarter maintenance for growth
Due to an increased production of iron ore the challenge is to raise both productivity and efficiency in logistics. LKAB made an agreement with Predge to use their decision support solutions. The main objectives were to increase reliability/availability and lower costs by:
Reducing the proportion of reactive maintenance in favour of predictive maintenance
Planning all maintenance activities with time and place
86% fewer failures
As a result, LKAB saw an 86% reduction of wheel bearing failure and predictive vs. reactive maintenance work went from 70/30 to 90/10. Other improvements were:
Autonomous: Confidence in the analyses – automatic generation of work orders to the workshops
Scheduling and planning maintenance activities based on condition of the assets and the capacity and ability of the workshops
Customer cases
Discover our success stories
Increased reliability
Real Rail
Streamlining the supply chain
SSAB Steel Shuttle / VTG
