SEE Forge creators of FAT FINGER
Predictive maintenance is the key to enhancing efficiency across many industries. The core principle is straightforward but transformative: predict when equipment will likely fail and conduct maintenance just in time to prevent the failure. This approach contrasts with the traditional reactive maintenance approach, where you fix equipment after it breaks down, causing downtime, increased costs, […]
Union Pacific Railroad, the largest railroad company in the USA, adopted big data for maintenance optimization. Thermostats and visual sensors are placed on the underside of each of its rail carriages to detect and analyze imminent problems with tracks and wheels. Additionally, they have deployed a fiber optic communications network throughout its rail system to […]
Trusted by companies all over the world Before FAT FINGER Unplanned downtime Emergency maintenance caused by sudden asset failures is costly, impacts production, and can mean significant downtime Procedures are not followed When maintenance procedures are bypassed, asset reliability can swiftly decrease and team accountability is put to the test Bad asset data Failing to […]