<p>Inconel 617 superalloy is a nickel (Ni)-chromium (Cr)-cobalt (Co)-molybdenum (Mo) alloy and considered as hard to machine materials. The goal of this work is to perform multi-response optimization and effect analysis of turning process parameters for computer numeric control turning of the Inconel 617 superalloy by AlTiN physical vapor deposition (PVD) carbide cutting inserts under minimum quantity lubrication. This work proposed a new hybrid methodology of technique for order preference by similarity to ideal solution (TOPSIS) and Taguchi methods for multi-response optimization and effect analysis of turning process parameters. The multiple responses were converted into a single comprehensive response (CR) using TOPSIS method, and the optimization and effect analysis of the process parameters on the CR were performed using Taguchi method. The methodology was applied to optimize three turning process parameters such as concentration of Al₂O₃ nanofluids in coconut oil (CC), cutting speed (CS), and feed rate (FR) for improving three responses such as cutting force, surface roughness and tool flank wear. The optimal values of the process parameters on the CR were respectively CC of 0.25%, CS of 40&#xa0;m/min, and FR of 0.14&#xa0;mm/rev. The effect ranking on the CR was FR (40.148%), CC (36.801%) and CS (23.051%). The methodology may be used to not only turning process of Inconel 617 but also other materials and machining processes.</p>