Process performance is very dependent upon the unique characteristics of the process equipment and the work/tooling interactions. To address this problem, research has been conducted to explore the feasibility of using an intelligent supervisory controller to build a local process database and provide control for the process. The research concerns the milling process as used in a machining centre. This paper will report on the data analysis, proposed control approaches, and how these results relate to the intelligent supervisory controller