Automating Identification of Factors that Lead to Low-Yield in Semiconductor Manufacturing

Mentor Graphics, a Siemens Business Computer Science, 2018-19

Liaison(s): Wes Smith, Janice Waterworth
Advisor(s): Ben Wiedermann
Students(s): Emily Kim (PM-F), Blake Larkin (PM-S), James Ren CMC ’19, Coco Smith

MentorGraphics, a subsidiary of Siemens, is in the business of industrial data systems, and one of its areas of focus is the semiconductor industry. The semiconductor process involves building electronic devices on (usually) silicon wafers. These wafers go through a complicated production process where any step could contribute to the failure of a computer chip. We were tasked with providing an automated solution that identifies different potential sources of failure. This will allow Mentor Graphics’ customers to focus on where to improve their systems in a more efficient manner than is currently available.