Predictive Maintenance
Endpoint intelligence that powers a transition from static preventive routines to predictive capabilities that transform asset maintenance.
Why It’s Important
Machine output and uptime are critical KPIs for every machine-intensive operation. Lack of real-time insights, unscheduled downtimes, and static maintenance routines all combine to create a machine ecosystem that performs well below its optimum capability. Primary limitations of preventive maintenance include:
MicroAI utilizes Endpoint AI technologies that enable equipment operators and stakeholders to gain deeper insights into the real-time status and heath of their machine assets. Asset-specific data is analyzed to predict when that asset will require maintenance. In this method, maintenance is performed based on actual machine-generated information as opposed to the legacy time-based approach. A methodology that includes:
What It Delivers
By bringing advanced endpoint AI capabilities to machine maintenance, MicroAI is helping expedite a transition from preventive to predictive maintenance. Machine-intensive companies in the manufacturing, telecom, industrial, and energy sectors are realizing a wide range of operational benefits.
- Up to 50% reduction in machine downtime
- Double-digit increases in machine productivity
- Significant reductions in maintenance labor costs
- Up to 15% improvement in OEE scores
- Lower CoGS and improved competitive position
- Low implementation cost and reduced management burden
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