Twin the Future: Virtualizing Semiconductor Manufacturing for Zero Downtime   

Overview

In semiconductor manufacturing, every nanometer and nanosecond counts. Downtime isn’t just lost production — it’s lost precision, yield, and competitive advantage. Twin the Future is about transforming how fabs operate by fusing real and virtual worlds through Ansys Digital Twin technology. By connecting physical assets with high-fidelity simulations and hybrid analytics, we create a continuously learning ecosystem where insight replaces reaction.

At the core of this transformation is Ansys Twin Builder, enabling the creation of high-fidelity, physics-based digital replicas of critical tools and processes. These twins are accelerated by reduced-order models (ROMs) to deliver real-time predictive performance without sacrificing accuracy. Augmented by Ansys TwinAI, this hybrid intelligence continuously learns from live operational data, driving predictive maintenance, process optimization, and performance improvement long before issues arise.

Through connected dashboards and interactive visualization, engineers can explore every system in context—seeing, simulating, and optimizing behavior virtually before it impacts production. Every pump, chamber, and subsystem can be monitored and tuned for peak reliability and efficiency.

For foundries, equipment providers, and innovation partners, this is more than technology — it’s a new manufacturing mindset. The outcome is zero unplanned downtime, maximized uptime, and smarter, more resilient fabs. Twin the Future is about mastering complexity through intelligence. The fabs that can predict the future will be the ones that define it.

What Attendees Will Learn

Join us to learn how digital twins help manufacturers:

• Predict and prevent equipment failures before they occur
• Reduce maintenance costs through data-driven decision-making
• Minimize unplanned downtime and improve overall equipment effectiveness (OEE)

Who Should Attend

• Manufacturing engineers, operations managers, maintenance teams, and technology leaders looking to enhance reliability and efficiency in semiconductor production.

Speakers

• Kyung Mo Yang
• Arash Hassanpour
• Rick Ku