This paper investigates the optimization of a push-rod suspension system, focusing on rocker triangle geometry through a simulation-driven and resource-efficient design process. A series of mechanical simulations are conducted to analyze the vehicle’s dynamic behavior under various conditions, including cornering, acceleration and braking. The suspension geometry, specifically the spatial configuration of the rocker triangle, is systematically varied. A response surface model (RSM) is then employed to identify the ideal dimensions and configuration using analysis of variance (ANOVA). This approach enables the prediction and evaluation of component performance prior to detailed virtual modeling and subsequent physical fabrication, offering a more efficient alternative to conventional trial-and-error methods. The optimized configuration serves as a foundation for CAD development and further component testing. By streamlining and generalizing the design process at an early stage, this method reduces development time and cost, and it minimizes resource consumption, contributing to a more sustainable and precise engineering solution.