Abstract: To systematically investigate the influence of diamond wire saw cutting parameters on the machining effect of marble, a response surface methodology was employed to analyze the impact of wire speed, feed speed, and workpiece length on surface quality, as well as their interactions. A predictive model linking process parameters to response indicators was established. Based on this model, an optimization model targeting surface roughness, waviness, and cutting efficiency was constructed using the NSGA-II algorithm. The Pareto optimal solution set was obtained. Through the TOPSIS method, the comprehensive optimal process solution was selected. The results indicate that both surface roughness and waviness increase with higher feed speed, longer workpiece length, and lower wire speed. The primary influencing factors in descending order is feed speed > workpiece length > wire speed. Higher wire speeds can mitigate the deterioration of surface quality caused by increased workpiece length and feed speed, while under long workpiece length, increasing the feed speed significantly exacerbates roughness and waviness. The process solution optimized through multi-objective decision making significantly improves cutting efficiency with only a slight reduction in surface quality. These findings provide experimental and theoretical support for the development of diamond wire saw cutting marble process.