Improving Semiconductor Fab Uptime with Predictive Maintenance
Turn predictive insights into fab floor action that prevents outages and increases equipment availability.
Predictive maintenance is only valuable when predictive insights lead to action on the fab floor. This webinar focuses on how semiconductor manufacturers can operationalize predictive maintenance to minimize unplanned downtime and increase equipment availability.
Our experts cover real‑world data ingestion strategies, deployment considerations, and execution models tailored to semiconductor tools and processes. Attendees will also see a brief demo illustrating how predictive maintenance workflows are configured, monitored, and acted upon in production environments.
What you'll learn:
- Executing predictive maintenance workflows in semiconductor fabs
- Identifying the data required and efficient methods for ingesting it from fab equipment
- Converting predictive alerts into maintenance actions to prevent outages
- What successful predictive maintenance looks like in a live demo setting.
Làm quen với các diễn giả
Darin Wood
Semiconductor Enterprise Account Executive
Darin is a Semiconductor Enterprise Account Executive at Siemens, where he works closely with the facilities and operations teams to support equipment reliability, manufacturing optimization, and digital transformation initiatives across semiconductor environments. He holds a bachelor’s degree in business management from Boise State University. He brings 34 years of experience working either directly or indirectly with semiconductor manufacturers to improve equipment availability and operational performance. In his free time, Darin likes to golf and enjoy all the outdoor activities that the state of Idaho affords.
Genaro Quiroz
Solutions Architect
Genaro is a Solutions Architect at Siemens specializing in predictive maintenance and smart manufacturing. With over a decade of hands-on experience—from the U.S. Navy's nuclear submarine fleet to enterprise automation systems—he bridges the gap between industrial operations and cutting-edge AI technologies. Today, he partners with forward-thinking manufacturers to deploy Senseye AI predictive maintenance solutions that transform reactive maintenance into proactive intelligence.