This Experimental work presents a technique to determine the better productive qualityrnby Analysis of Effect Surface Roughness, Material Removal Rate and Tool Life in Turningrnof Mild Steel by controlling cutting experiment. Turning Experiments on Laze Machinernwere conducted with Spindle Speeds: 530, 700, 860 rev/min, Feeds: 0.5, 0.6, 0.7rnmm/rev and Depth of cuts: 0.5, 1.0, 1.5 mm. Thus the three input process parametersrnsuch as Spindle Speed, Depth of Cut and Feed Rate have been selected to minimize thernSurface Roughness, maximize Material Removal Rate and Tool life simultaneously Thernpresent work focused by using L9 Orthogonal Array (OA) on the processing steps to getrnthe optimal values with the help of Minitab software using main effects graph, andrnAnalysis of variance (ANOVA) was employed to investigate the characteristics andrnexperimental results are provided the effectiveness of this approach. This technologyrnhas met the current needs of Industry owing to its shorter design cycles and improvedrnthe design of quality using Taguchi Method. The results revealed that the feed ratern(68.7%) is only significant to minimize surface roughness and optimum values arern(530rpm, 0.5mm/rev, 0.5mm) secondly spindle speed (48.7%) the major significantrnparameter for Maximize Material Removal Rate and the Optimum values are (860rpm,rn0.7mm/rev, 1.5mm) lastly spindle speed (75.3%) is Highly significant parameter forrnmaximize Tool life and the optimum values are (530rpm, 1mm/rev, 0.5mm), Finally, thernrelationship between cutting parameters and the performance measures ( SurfacernRoughness, Material Removal Rate and Tool life) were developed by using multiplernregression analysis.