Aiming at the ignorance of the uncertainty factors existing in suspension bushings and anti-roll bars in the traditional optimization design process of suspension K&C characteristics, a design method for the robustness of suspension K&C characteristics that could facilitate its pratical use in engineering was proposed. Using the suspension hard point as the controllable factor, the stiffness of the bushing and the anti-roll bar as the uncertainty factor, the response surface equation for the suspension K&C characteristics was established based on Latin hypercube sampling by virtue of the ADAMS/Insight. Then the 6σ optimization method in the Isight software was used to optimize the hard point by Monte Carlo simulation. The results show that the optimized toe angle, camber angle, kingpin inclination angle, and caster angle characteristics become better than before, and the standard deviation of the multi-objective response function of the K&C characteristics of the suspension is reduced by 26%. After optimization, the K&C characteristics of the suspension system are improved, the degree of influence of the stiffness of the bushing and anti-roll bar on the suspension system is reduced, and the robustness of the suspension K&C characteristics is raised.