<p>This work focuses on the estimation of the tribological performance of selective laser-melted SS316L under lubricated conditions. The wear tests are conducted using a pin-on-disc setup based on the L₁₆ orthogonal array in the Taguchi method. The microstructural analysis confirmed the presence of a columnar grain structure, with measured porosity and density values of 3.75 ± 0.071% and 96.25 ± 1.65%. Multi-criteria decision-making (MCDM) techniques are used to rank the best tribological parameters. The complex proportional assessment (COPRAS), multi-objective optimization based on ratio analysis (MOORA), and technique for order preference by similarity to ideal solution (TOPSIS) is applied to identify the best parameters to minimize the coefficient of friction (COF) and specific wear rate (SWR). Analysis of variance (ANOVA) and contour plots reveal that applied load and sliding distance are the most significant parameters affecting COF and SWR. The main effect plots of COF, SWR, and MCDM techniques are presented. The best wear resistance parameter is achieved by an applied load of 20N, a sliding velocity of 1.11&#xa0;m/s, and a sliding distance of 2000&#xa0;m, with a minimum COF of 0.0284 and SWR of 3.7233 × 10^–6 (mm³/N-m). The ranking performance of COPRAS, MOORA, and TOPSIS shows 75% agreement, with similar trends in high and low rankings. A confirmation experiment validates the results, confirming the effectiveness of the optimized wear test parameters.</p>