This study aims at producing an optimal cutting-parameter design for a heavy cutting process for side milling using the Taguchi method with fuzzy logic. The workpieces material is SUS304 stainless steel. The major performance indexes chosen to evaluate the cutting process are tool life and metal removal rate. The results are closely correlated with cutting parameters such as spindle speed, feed per tooth, radial depth of cut, and axial depth of cut. Optimization of cutting parameters can be achieved by applying the Taguchi method with fuzzy logic associated with the multiple performance characteristics. The results of confirmation experiments reveal that the Taguchi method with fuzzy logic can effectively reveal the optimal combination of cutting parameters and can effectively improve cutting performance in a heavy cutting process for side milling.