Discovery of Resource-Oriented Transition Systems for Yield Enhancement in Semiconductor Manufacturing

In semiconductor manufacturing, data-driven methodologies have enabled the resolution of various issues, particularly yield management and enhancement. Yield, one of the crucial key performance indicators in semiconductor manufacturing, is mostly …

Development of algorithm for recommending best resource path using AI, *in cooperation with Samsung Electronics*

Development of best reference resource mining algorithm, *in cooperation with Samsung Electronics*

The importance of efficiently operating and managing manufacturing equipment in a process is highlighted in this research. By utilizing process mining techniques, analysis of equipment status and operation status becomes possible. The research aims to develop an equipment mining algorithm for deriving the Best Reference equipment. The study involves analyzing core semiconductor manufacturing processes, identifying problem equipment, engaging in process mining technology sensing activities that include technology and case introductions, and developing a methodology for identifying the Best Reference equipment using process mining techniques.