This application provides shop floor planning recommendation using statistical methods, and provides a health condition estimation and prediction for various key components including spindle, feed axis, and cutting tools using machine learning.
The application is scalable and has widespread applicability across processes and machines. The benefits include ability to balance wear and tear of various machines across the cell. It also provides an early warning system for tool failure to reduce unplanned downtime resulting in increased OEE.
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