Increase tool up-time from 98% to 99,5%, by combining a traditional approach for preventive maintenance, with a more data driven approach for predictive maintenance. The maintenance tasks are determined by the condition of the equipment – rather than the average or expected life statistics. Thanks to the dramatically improved data analytics capability, and the sophisticated maintenance models, the repair can be scheduled at a time that minimizes the impact on production.
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