12-02, 09:50–10:20 (Europe/Amsterdam), Planck
In the chip industry, time is money. Customers of ASML’s lithography systems expect high uptimes. But expected and unexpected maintenance is part of that equation, sometimes requiring to halt the production temporarily.
In this presentation, we show you how we are building and deploying Machine Learning models to predict upcoming maintenance actions within the upcoming three months. Our work helps to boost productivity, maximize system utilization and reduce unexpected workload for ASML’s customer support.
In the chip industry, time is money. Customers of ASML’s lithography systems expect high uptimes. But expected and unexpected maintenance is part of that equation, sometimes requiring to halt the production temporarily.
In this presentation, we show you how we are building and deploying Machine Learning models to predict upcoming maintenance actions within the upcoming three months. Our work helps to boost productivity, maximize system utilization and reduce unexpected workload for ASML’s customer support.
No previous knowledge expected
Product Owner Predictive Maintenance
