Prescriptive Maintenance in Semiconductor Manufacturing: A Shift from Reactive to Intelligent Systems
We are thrilled to kick off our first event of Fall 2025 at Santa Clara University! Our guest speaker, Mr. Michael Armacost from Applied Materials Inc. See the details below.
Abstract:
Semiconductor Tool maintenance is a complex task due to process complexity, process integration challenges, and customer requirements. Historically, maintenance strategies have been reactive due to these complexities. Applied Materials has been focused on moving from a generally reactive method of reacting to tool issues to prescriptive methods of maintaining process equipment. This migration is through a combination of advanced anomaly detection techniques which provide low false positives, methods of translating fail modes into Reactive Useful Life estimates and ultimately prescribing solutions to issues in advance using Generative Artificial Intelligence. This discussion will cover some of the challenges and solutions to this framework.
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- Santa Clara University
- 500 El Camino Real
- Santa Clara, California
- United States 95053
- Building: Sobrato Campus for Discovery and Innovation
- Room Number: SCDI 4010
- Click here for Map
- Starts 13 October 2025 07:00 AM UTC
- Ends 04 November 2025 08:00 AM UTC
- No Admission Charge
Speakers
Mike of Applied Materials Inc
Prescriptive Maintenance in Semiconductor Manufacturing: A Shift from Reactive to Intelligent Systems
Abstract:
Semiconductor Tool maintenance is a complex task due to process complexity, process integration challenges, and customer requirements. Historically, maintenance strategies have been reactive due to these complexities. Applied Materials has been focused on moving from a generally reactive method of reacting to tool issues to prescriptive methods of maintaining process equipment. This migration is through a combination of advanced anomaly detection techniques which provide low false positives, methods of translating fail modes into Reactive Useful Life estimates and ultimately prescribing solutions to issues in advance using Generative Artificial Intelligence. This discussion will cover some of the challenges and solutions to this framework.
Biography:
Mr. Michael Armacost
Managing Director, Digital Tools Engineering, Applied Global Services.
Michael Armacost holds a Bachelor of Arts degree in Chemistry from McDaniel College and a Master of Science in Chemical Engineering from Clarkson University. With over 25 years of leadership experience in the semiconductor industry, he currently leads the Digital Tools Engineering team at Applied Materials in Santa Clara, driving innovation and operational excellence in advanced technology solutions.
Email:
Address:SAN JOSE, United States, 95054
Agenda
6:00 - 6:30 - Networking and light dinner (for in person attendees)
6:30 - 7:30 - Talk and Q & A
7:30 - 8:00 - Wrap up and Networking
This is a hybrid event. If you plan to attend in person, please register by 10/31/2025 to help us prepare an accurate headcount for food.
Paid parking is available on campus, while free parking can be found off campus.