The Maintenance predictive model

The Maintenance predictive model helps you optimize your Preventive Maintenance System.

In the past, a scheduler would optimize a plant's Preventive Maintenance System (PMS) by carefully altering the days that were allotted for maintenance in the OEM's default schedule. The IBM® Predictive Maintenance and Quality Maintenance predictive model helps you to optimize your maintenance schedule using predictive analysis.

Often, in a new setup of PMQ sensors in the plant, even if sensor data has not gained optimal maturity for effective predictions, there may be enough data in the plant's maintenance system (Maximo/ SAP-PM etc.) to initiate a Predictive Maintenance regime. IBM PMQ's Maintenance Analytics can work on such maintenance work orders alone and does not depend on any sensor data. Therefore, the Maintenance model may help to expedite the ROI of any Predictive Analytics system before any useful sensor data is obtained.

For some resources or instances, sensor analytics alone might not provide the most accurate predictions. In this case, you can combine the results of both Maintenance Analytics and Sensor Analytics (via Integration Analytics module) to produce more optimal end results.