Since developing the aluminum industry over 130 years ago, Alcoa has built a reputation as an industry leader and innovator. Its latest innovation is to practice predictive maintenance on the machines in its aluminum smelters. Now it saves on cost, time and work hours by fixing assets before they become a problem.
“We can actually start to predict the remaining useful life of that machine, by matching up current data that’s coming from the PI System and maintenance data from Oracle eAM. So that can tell you not only what’s going wrong and why, but how long that asset has to live.”
Alexander Hill, Chief Global Strategist and Co-Founder at Senseye
Goals
- Perform predictive maintenance to fix assets before they fail
Challenges
- Needed to integrate historical data in AVEVA™ PI System™ with maintenance data in Oracle eAM
Solution
Results
- 20% decrease in unplanned downtime
- Lower maintenance costs, and 10% decrease in maintenance work-hours
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