Harry Dong, Director, Optical Process Engineering, Magic Leap
This paper describes an approach for driving yield improvements by analyzing process performance data with JMP. Analysis of performance data -- including process long-term and short-term capability, stability and statistical control -- is particularly useful when monitoring hundreds of process KPIs retrospectively. Modern manufacturing requires many process and metrology steps to ensure healthy product lines and high-quality products. During the production ramp-up phase, identifying the processes of most concern is highly challenging. Using JMP scripting and quality data analysis, Magic Leap’s Eyepiece Manufacturing factory implements an automated process that can pull, analyze, visualize, correlate, predict and verify factory yield improvement based on a variety of performance metrics.
