The present study developed a robust hybrid module for multi-criteria optimization of conflicting machining performances during milling of GO doped Epoxy/CFRP composites. Doping of GO radically increased the dispersion ratio which creates a better interaction of matrix and reinforcement. The machining behavior of these polymers significantly differs from metals and their alloys. The process constraints were considered as spindle speed (S), feed rate (F), depth of cut (D) and GO wt. percent (GO). Taguchi L9 OA was used in the combined optimization approach of AHP and TOPSIS. The optimum parametric combination was obtained as S2F2D1GO1 which shows substantial improvement in desired machining characteristics. The optimal results were verified through a confirmatory test, which shows good agreement with actual ones. The minimum roughness, cutting force and maximum MRR are found as 0.730 μm, 4.706 N, and 17.0484 mm 3 /s, respectively. The ANOVA inferred that S (79.55%) and F (4.80%) are the most important parameters for overall assessment value.

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