Base on CIMS's enterprise distribution network design

In order to explore the enterprise distribution network design by dynamic programming, put forwarded the basic structural model and the decision-making problems, also studied it used transportation planning and combined Genetic Algorithms. It proves that the Transportation planning could show the flexibility and effectiveness in designing small-scale distribution networks; while combined Genetic Algorithms could improve the accuracy and efficiency when the scale of networks is greatly enlarged. Therefore, dynamic programming could be used to solve the multi-stage distribution networks design. Meanwhile, it built a nonlinear expression of storage & transport cost in solving logistics cost scale economy, and successfully applied it to the multi-stage distribution networks design.