Standard Least Squares Method for Identifying Problem Tools in a Manufacturing Environment
Edward L. Hutchins, Cree Inc.
We describe an analytical method to identify problem tools in a manufacturing environment. Using JMP, we visualized a yield problem, collected a relevant data set, and created a Standard Least Squares model to identify the tools contributing most to the problem. Once identified, further analysis suggested the proper corrective action. On numerous occasions, we have found this strategy to be an effective method to identify problem tools.
