Mitek Analytics provides Industrial AI applications, implemented as AI/ML Analytics Engines for the Maintenance, Repair and Operations (MRO). These are killer apps for Industrial Internet of Things (IIoT). Industrial AI applications enable enterprise-operation monitoring of fleet of industrial assets. Addressing the detected anomalies and bottlenecks and optimizing the operations can bring enormous benefits in costs and asset availability.
- MRO of asset fleet includes maintenance (equipment + work) and spares logistics.
- A local problem in the work/part flows leads to system-wide delays and poor availability. The enterprise costs can be staggering with inefficiencies in a few percent of the total CAPEX.
Our Solution: MRO Digital Twin (MDT)
- Industrial AI for improving asset fleet availability
- Machine Learning from data to obtain explainable model
- Explainable inference based on the trained ML models
- Decision support to improve availability and cost of asset fleet
- A number of companies offer predictive maintenance analytics that is based on operational data collected prior to part failure.
- We analyze maintenance actions that occur after the parts have failed. These processes consume the bulk of MRO budget.