Advanced Process Control In Semiconductor Manufacturing

Advanced Process Control In Semiconductor Manufacturing

🎙 Semiconductor Engineering 👥 30K 📅 November 14, 2025 ⏱ 10 min 👁 2K 📄 expert opinion 🧭 2026-08-16
Available in: English (current) Français

Keywords

APCvirtual metrologymachine learningprocess controlsemiconductor

Summary

In this interview, Jon Herlocker, CEO of Tignis (now part of Cohu), discusses the evolution of advanced process control (APC) in semiconductor manufacturing. He explains classic APC, which uses feedback from metrology tools to adjust process parameters and compensate for drift. Then he introduces machine learning-based APC, which incorporates virtual metrology to predict process outcomes in real-time, enabling faster corrections and reducing scrap. Finally, he describes intelligent process control (IPC), where machine learning models emulate the physics of the process and optimize for multiple outcomes simultaneously, such as critical dimension, runtime, and gas usage. He emphasizes that while virtual metrology is not perfect, it is sufficiently accurate for directional corrections, and that manufacturing’s conservative nature ensures extensive testing and fail-safes. The discussion is part of a series on AI in semiconductor manufacturing.

132 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides valuable insights into the practical application of AI in semiconductor manufacturing, specifically in process control. The argumentation is clear and logical, progressing from classic APC to ML-based APC and then to intelligent process control. The expert effectively explains the benefits and limitations of each approach, using analogies like a pilot correcting for wind. The discussion is grounded in real-world industry experience, adding credibility. However, it lacks quantitative data or case studies to support the claims, which would strengthen the argumentation.

Scientific Rigor, Source Quality, Title Accuracy

The video is an expert interview, so the primary source is the interviewee’s expertise. No external sources are cited, but the content aligns with known industry practices. The title accurately reflects the content. The description mentions that this is part 5 of a 7-part series on AI in semiconductor manufacturing, providing context. No comments are provided, so no analysis of public reception is possible.

162 words

Title / Content Match

The title accurately reflects the content, which focuses on the evolution of advanced process control in semiconductor manufacturing.

Quality & Reliability

8/10

The video features an expert (CEO of Tignis) discussing advanced process control in semiconductor manufacturing, with clear explanations of classic APC, ML-based APC, and intelligent process control. The content is technically accurate and aligns with industry knowledge, though it is an interview and not peer-reviewed.

Key Moments

Contribution & Novelties

The video provides a clear and accessible explanation of the evolution from classic APC to ML-based APC and intelligent process control, highlighting the role of virtual metrology and multi-objective optimization. It offers practical insights from an industry expert, which is valuable for professionals and students. The discussion of intelligent process control as a distinct step is particularly insightful.

Pour aller plus loin :

101 words

Radar Profile

The radar profile shows a balanced performance with high scores in quality of information and reliability, moderate in quantity and technical level. This indicates a focused, expert-led discussion that is informative but not exhaustive, suitable for an audience with some technical background.

Reliability 8/10