The high quality of the machined components is a research challenge to improve the operational efficiency of such components. This problem can be overcomed by optimizing machining operations and choosing the cutting parameters correctly. This work, therefore, proposes an optimization approach to the process parameters of epoxy hybrid nanocomposites strengthened by multi-wall carbon nanotubes (MWCNTs) and Al2O3. The machining parameters were rotational speed (n), feed rate (F), insert nose radius, and depthof cut (D). Metal removal rate(MRR) and surface roughness (Ra) were selected as parameters for the process response control. The optimization techniques involved were the Response Surface Method (RSM) and with Analysis of Variance (ANOVA).The results of RSM optimization and ANOVA showed that the most important factors influencing Ra are the insert nose radius and feed rate andfor MRR are feed rate, rotational speed, and depth of cut.