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Tirah Wu
TRICORNTECH CORPORATION
Business Development
Global Vice President of the Semiconductor Industry
Education
Taipei Tech, B.A. in English
Experience
﹒Tricorntech Corporation Business Development
﹒Taiwan High-tech Facility Association Working Group
﹒SEMI Taiwan Membership Representative
Speech Title and Abstract
Physics-Constrained AI Digital Twin for Environmental Risk Prediction in High-Tech Facilities
Semiconductor manufacturing is entering a new era - where competitive advantage is no longer defined solely inside the cleanroom. Digitalization of semiconductormanufacturing is becoming a requirement, and the need to create a closed loop system measuring the real world and validating the virtual world is needed. As production accelerates and complexity surges, facility systems must evolve from managed infrastructure to high-performance, data-driven operational platforms. The next generation of Facility Monitoring and Control Systems (FMCS) will lead this shift.
Imagine an FMCS built for scalable IT/OT convergence - from sensors to top floor -connects seamlessly with production, building, and design systems across the fab. It unlocks insights from collected data through advanced analytics and AI tools. Combined with our comprehensive digital twin, it drives continuous resource and energy optimization, delivers actionable insights for facility performance, and detects disruptions early through predictive maintenance. With virtual commissioning, teams can simulate, test, and validate thousands of facility objects in a fully automated, low-error digital environment - cutting startup time and de-risking deployment long before systems go live.
At Siemens, we don't just imagine the future of fabs - we realize it, virtually and physically.
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