With Internet of Things and predictive analytics from Sigma, the customer is able control preventive maintenance based on how machines are expected to function tomorrow, and not solely according to a specific periodicity or particular present conditions.
REDUCED MAINTENANCE COSTS
According to several studies, maintenance costs in asset intensive industries such as paper, steel and energy, can be dramatically reduced by means of predictive maintenance. (click the image to enlarge).
Sigma has a complete solution for Internet of Things and predictive maintenance, regardless of which data sources or maintenance system you utilize. And the first application can be up and running in a couple of weeks! (click the image to enlarge)
”We have recurring disruptions with one of the conveyors, when a few critical roller bearings fail, production comes to halt. Instead of an expensive overhaul, we are now assessing vibration monitoring connected to Sensation, wherein an analysis predicts an impending crash and then automatically sends a service request to our maintenance system Maximo. This allows us to plan the replacement of the roller bearing and avoid costly downtime.”
PETER CALEN, Pågen AB
”As Chairman of the API PRO users association, I am very pleased to see how our approx. 80 member companies consistently uncover new opportunities to develop their maintenance operations with the help of API PRO and Sigma. Even here at Ovako we can see a multitude of application areas in which the Internet of Things and predictive analytics will provide more efficient maintenance and greater availability in our facilities for the production of special steels.”