The goal of this study is to increase material removal rate (M rr ), and minimize consumption of power (P c ) and surface integrity (S r ) while using the least amount of resources thereby addressing sustainable manufacturing and optimization in machining operation. Box Behnken Design (BBD) and Grey Regression Analysis (GRA) are systematically followed in the machining process on UNS T51603. The experimental runs were performed based on BBD followed by multi-objective optimization using GRA. The practical applicability and reliability of the optimized parameters is evaluated by confirmatory runs, and the optimal solution of single and multi-objective solution for S r , M rr , and P c , is verified. The lowest S r was achieved when S s was maintained at 2000 rpm, with D c at 0.6 mm, F r at 750 mm/min, and C fr 6 l/min. maximum M rr was attained when S s assigned at 1750 rpm, with D c at 0.6 mm, F r at 750 mm/min, and C fr 8 l/min. When compared to confirmatory runs, the optimized set of parameters for BBD and GRA reveals a 10% variance, demonstrating the validity of the optimization strategies used. In terms of P c the optimized parameters were found to be 1750 rpm, 0.2 mm, 500 mm/min, and 6 l/min.