A first-time exploration into sequenced multimodality saves big data for high-quality wafer-manufacturing

Abstract

The sequenced multimodality has been for the first time proposed and explored for effectively identifying the problematic tools in wafer processing. To demonstrate the merits and values of practicing this new concept, two case studies in product yield and in inline reliability were provided in detail. This new methodology can help save big data for enhancing the quality of wafer manufacturing.