AI and automation are being put to work in some of the largest semiconductor foundries. They are using AI and automation to enable process engineers to focus their time on improving yield and production capacity, by saving time to aggregate data from large numbers of machines, production lines and test results. Using AI and automation enables them to provide near real time information for faster and more accurate decision making on the factory floor without disruption to current systems and manufacturing processes.
The UiPath platform leverages AI for the automation of formerly manual activities performed by machine operators and production process engineers. This includes, for example, tool status checks, tool setup, and alarm clearance, as well as defect tracking and proactive maintenance by collecting data from equipment and Manufacturing Execution Systems and orchestrating workflows for actionability. This enables production process engineers to focus their time on improving yield and production capacity, by saving time spent previously on aggregating data from large numbers of machines, production lines and quality test results, to accelerate accurate decision making on the foundry.
We will share real AI and automation customer use cases that attendees can apply immediately to their own organizations to improve yield and production capacity.