Abstract: Generation roots of dynamical property for the pulled supply chain scheduling are analyzed,and it is pointed out that the existence of collaboration and competition connections between the supply chain collaboration members is rather complicated,which results in particularity of the supply chain dynamic scheduling.Two dominant choke points of this scheduling process are also analyzed.To settle these problems rationally,optimization mechanism that originates from ant group looking for food is introduced into this process,and ant group optimization algorithm for supply chain dynamic scheduling is adopted to devise and improve its particular algorithm.Feasibility and efficiency of the new algorithm ultimately get validated through a simulation.

Key words: pull supply chain, dynamic scheduling, improved ant algorithm