This study investigates the impact strength of tough polylactic acid (PLA) materials produced using fused deposition modeling (FDM) through the Taguchi method and analysis of variance (ANOVA). The key printing parameters—infill density, raster angle, layer height, and print speed—are analyzed for their effects on Charpy impact strength. Using a Taguchi L16 orthogonal array, the parameters are varied within defined ranges, and the results are analyzed using signal-to-noise (S/N) ratios and ANOVA. The study finds that infill density has the most significant impact on Charpy impact strength, followed by print speed, layer height, and raster angle. ANOVA identifies infill density and print speed as the most influential factors, contributing 38.93% and 36.51%, respectively. A regression model is formulated, predicting impact strength with high accuracy (R² = 98.16%). The optimized parameters—100% infill density, 45/−45° raster angle, 0.25 mm layer height, and 75 mm/s print speed—result in an enhanced impact strength of 38.54 kJ/m², a 1.39% improvement over the experimental design. Validation experiments confirm the effectiveness of the optimized parameters. The study provides a systematic approach to optimizing the impact strength of tough PLA materials for industrial applications.This study investigates the impact strength of tough polylactic acid (PLA) materials produced using fused deposition modeling (FDM) through the Taguchi method and analysis of variance (ANOVA). The key printing parameters—infill density, raster angle, layer height, and print speed—are analyzed for their effects on Charpy impact strength. Using a Taguchi L16 orthogonal array, the parameters are varied within defined ranges, and the results are analyzed using signal-to-noise (S/N) ratios and ANOVA. The study finds that infill density has the most significant impact on Charpy impact strength, followed by print speed, layer height, and raster angle. ANOVA identifies infill density and print speed as the most influential factors, contributing 38.93% and 36.51%, respectively. A regression model is formulated, predicting impact strength with high accuracy (R² = 98.16%). The optimized parameters—100% infill density, 45/−45° raster angle, 0.25 mm layer height, and 75 mm/s print speed—result in an enhanced impact strength of 38.54 kJ/m², a 1.39% improvement over the experimental design. Validation experiments confirm the effectiveness of the optimized parameters. The study provides a systematic approach to optimizing the impact strength of tough PLA materials for industrial applications.