The authors have proposed a novel Taguchi based Simple Additive Weighting (T-SAW) methodology in this study and investigated its comparison with Taguchi based TOPSIS (T-TOPSIS) methodology for responding towards its validity. The aforesaid two methodologies are implicated for examining turning operations on AlMg3 (AA5754) alloy in CNC Lathe machine using tungsten carbide tool, which are simultaneously implicated under sole manufacturing case for defining metrological comparison, for generating robust decision and for examining the validity of the novel T-SAW methodology. The authors found that both methodologies are imparting analogous parametric conditions i.e. cutting speed at 69.1 m/min, feed at 43 mm/min and depth of cut at 1 mm. Additionally, both methodologies are suggesting depth of cut as most significant and feed as least significant cutting parameter with 65.22% of contribution of depth of cut is reflected by T-SAW and 65.35% of contribution of depth of cut is reflected by T-TOPSIS methodology. It is found that the execution of proposed T-SAW methodology is simple as compared to other Taguchi based MCDM (Multi Criteria Decision Making) techniques and fluently defines effective parametric setting to be implicated under numerous manufacturing processes. An easy executable Multi Objective Optimization (MOO) framework is presented, Multi Response Performance Indicator (MRPI) is generated, parametric optimization of surface integrity aspects i.e. metal removal rate and surface roughness is presented, technical features for modeling T-SAW and T-TOPSIS methodologies are illustrated and the importance of cutting parameters for achieving output parameters is discussed in this study for cataloging rationalized experiments.