20. May 2026
14:40 – 15:00
Artificial Intelligence and Digitalization
Integrated Digital Workflows for Accelerated Failure Analysis and Enhanced Yield Learning in Semiconductor Manufacturing
Michael Fritzsche
GlobalFoundries Fab1 I Germany
Abstract
Failure analysis in semiconductor manufacturing requires fast and reliable access to many different data sources. As IT environments continue shifting toward cloud‑based solutions, traditional, separate workflows make it difficult to keep analysis efficient and consistent.
In this talk, I will show how combining bitmap data, inline‑defect inspection results, scan‑diagnosis output, FA results , and electrical sort information into one integrated digital workflow, which improves the turnaround time and quality of failure analysis. Automated data alignment and correlation help engineers identify patterns and potential root causes much earlier in the process.
The unified workflow has been demonstrated to reduce manual effort, enhance transparency, and ensure that all relevant information is available when required for failure analysis. This results in faster diagnostics, improved support for engineering teams, and greater customer satisfaction, because decisions can be made based on complete, up‑to‑date data.
Biography

Michael Fritzsche is a Central Labs Staff Technician with over 20 years of broad failure analysis experience.
Since 2004, he has worked as a Physical Failure Analysis Technician, initially focusing on bitmap, logic, and nanoprobing on various analytical tools. Today, he supports diverse operational areas including bitmap, scan diagnosis, Avalon configurations, and managing the Failure Analysis request system, giving him strong insight into product lifecycles and FA workflows. He also enhanced the lab’s IT infrastructure by developing web‑based visualization tools and automated processes that improve transparency, data access, and efficiency for engineering teams.