Which strategy involves using data to predict when maintenance should be performed?

Predictive maintenance is the strategy that uses data analysis and monitoring to forecast when maintenance should be performed. By leveraging various types of data, such as operational performance, equipment condition, and historical maintenance records, predictive maintenance allows organizations to identify potential failures before they occur. This proactive approach can lead to improved equipment reliability, reduced downtime, and optimized maintenance schedules.

This involves tools like sensors and data analytics techniques to gather performance data over time, enabling maintenance teams to analyze trends and anomalies that indicate the need for maintenance activities. Using predictive maintenance minimizes unplanned repairs and enhances the efficiency of maintenance operations by ensuring that maintenance tasks are completed just in time, based on actual equipment conditions rather than relying solely on fixed schedules or past breakdowns.