Our Client needs enhanced attitude towards the process of predicting when failure may occur by monitoring equipment performance . This will help determine the optimal moment for maintenance to be performed and thus reduce downtime, hence loss.
Predictive maintenance data-driven approach was employed considering product lines/ manufacturing unit specifics.
The solution comes from the Machine Learning domain and is multistage.
Different sensors’ data are aggregate leveraging statistical learning where the outcome is the manufacturing unit traffic-light health factor.