In this study, surface roughness, tool wear and Material Removal Rate (MRR) are major intentions in modern Computer Numerical Controlled (CNC) machining industry; therefore, the L9(34) orthogonal array of Taguchi experiment is selected for optimizing the multi-objective machining. Through, the examination of surface roughness (Ra), tool wear ratio (mm-2) and the calculation of Material Removal Rate (MRR) (mm3 min-1); machining objectives are then received. By using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the multiple objectives can additionally be integrated and introduced as the S/N (signal to noise) ratio into the Taguchi experiment. The mean effects for S/N ratios are moreover analyzed by MINITAB to achieve the multi-objective turning parameters. Through, the confirmation results, it is shown that the three objectives from our optimum parameters are all greatly advanced compared to those from benchmark parameters. Parametric optimization is a hard-solving matter because of the interactions between parameters. This study not only proposes a novel parametric optimization technique using Technique for Order Performance by Similarity to Ideal Solution (TOPSIS), but also contributes the satisfactory solution for multiple CNC turning objectives with profound insight.