Monitor operational parameters of your key machinery to reduce maintaince and downtime.
According to a recent survey reports, “Best-in-Class” companies are increasingly utilizing IoT to implement Predictive/Proactive Maintenance models to address and improve their top operational challenges:
Amount of unscheduled downtime against total availability
Availability x Performance x Quality = OEE
Total maintenance costs including time and personnel
Profit earned from equipment resources through improved uptime
The following example illustrates the amount of time that it takes to detect a potential failure interval for each of the four maintenance models commonly used today. Predictive Maintenance enables you to save time and money by detecting the failure based on data sources before damage to the machine occurs.