The work aims to propose a dynamic material distribution strategy aiming at the problem of inaccurate and untimely material distribution due to uncertain material demand time in the station of digital production workshop. Firstly, the real-time distribution station and co-working station were determined according to the station correlation degree and change time window, and the dynamic material distribution route optimization strategy based on station sorting was designed. Secondly, the mathematical model with the objective function of minimizing the total distribution cost and the time window deviation cost was established. Finally, a combined method of system dynamics simulation and ant colony genetic hybrid algorithm was proposed to solve the model. The simulation results showed that compared with static material distribution optimization strategy, the proposed strategy realized the average time cost reduction rate of 30.1%, and the average inventory reduction rate of 14.86%. The strategy can determine the distribution station and co-working station and adjust the distribution sequence in real time according to the dynamic time window, realizing the dynamic self-adaptive adjustment of material distribution, and reducing the total material distribution cost. The fusion algorithm has obvious advantages in iteration number, convergence and optimal solution quality.