Summary
Machine learning models analyzed manufacturing and design data to predict low-yield wafers early in production. The system identified process drivers of defects and enabled targeted improvements across fabrication stages. This reduced scrap, improved overall yield, and enhanced profitability. The approach scaled across facilities and complex product lines to drive continuous operational gains.