Plenary Speakers

Rapid Yield Improvement Using Intelligent Data Mining

Vivek Jain
Maxim Integrated

Abstract: Entitlement yield is the goal all manufacturing leaders strive to achieve; implementing improvement to get to entitlement yield quickly is critical for capturing the market before competitors, maximizing lifetime product revenue, driving low cost, and meeting customer quality requirements. However, it's challenging to get to entitlement yield fast given the obstacles:

  1. Multiple-month cycle time from start of wafer to getting yield information
  2. Multiple yield issues (typical >3) to fix at any given time
  3. Multiple iterations to fix a yield issue
  4. Initial data looks promising, but high-volume data shows issues - multi factor issue

To be successful, it is important to use a methodology that provides a high-confidence/low-risk path to drive rapid yield improvement. Intelligent data mining is a versatile method that is applicable to new and ramping technologies, and it also addresses excursions in high-volume manufacturing. This method helps leaders understand sources of variation using existing information so that they can quickly figure out the key knobs to drive yield improvement and achieve entitlement yield.
In this talk, we will compare the conventional yield improvement methodologies with intelligent data mining. These time-tested methodologies have been validated on deep sub-micron logic and memory as well as state-of-the-art analog and mixed-signal technologies.

Biography: Vivek joined Maxim in April 2007 as the Vice President of Fab Operations and became the Senior Vice President of Manufacturing Operations in 2009. Prior to joining Maxim, Vivek was a Plant Manager at Intel's Technology Development and Manufacturing facility in Santa Clara, CA. At Intel, he oversaw the process technology development and high-volume manufacturing of deep sub-micron logic and Flash memory technologies. Vivek has published more than 30 papers on process technology, semiconductor device reliability, and performance. He holds over 10 patents in the field of semiconductor technology.
Vivek holds a BS degree in Chemical Engineering from the Indian Institute of Technology at New Delhi, an MS degree in Chemical Engineering from Penn State University, and an MS degree in Electrical Engineering from Stanford University. He is also a 2014 graduate of the Stanford Graduate School of Business Executive Program.

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