Abstract: To solve the optimization problems about time,cost and quality of the product development scheme in project network planning,the fuzzy chance constrained programming is applied to establish a project completion time optimization model based on critical path,a project time-cost optimization model based on employment of resources and a project time-quality optimization model by quality function deployment（QFD）.Then a time-cost-quality multi-objective optimization model was established based on these models.The discrete particle swarm algorithm was applied to solve the multi-objective optimization model,where the fitness function was constructed based on regret degrees of sub-objectives,which were handled by fuzzy simulation technique.Finally,the practical example of project management optimization for ball screw product verified the validity of these models and the effectiveness of the proposed algorithm.The experimental results showed that the solution of the multi-objective model could achieve equilibrium optimization among the time,cost and quality objectives,which provide quantitative and authentic decision-making basis for product development project planning.