Maintenance Reduction

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:

Reduce Unplanned Downtime upto 5%

Amount of unscheduled downtime against total availability

Improve Overall Equipment Effectiveness upto 90%

Availability x Performance x Quality = OEE

Reduce Maintenance Costs by upto 15% YoY

Total maintenance costs including time and personnel

Increase Return on Assets (RoA) by upto 25%

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.

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