:Supply chain logistics planning is the key issue of supply chain management. To solve the logistics planning problem of decentralized supply chain , in which the nodes can be unlimitedly expanded , the concept of supply chain cell is put forward. Considering the randomicity of supply and demand price among the supply chain , a integrated logistics planning model for the multi stages , multi nodes , multi products and decentral ized supply chain is introduced based on the stochastic chance constrained programming theory. Based on ran dom simulation , a hybrid intelligence algorithm is developed for this model. With a numerical examples simu lation the effectiveness of the model and the algorithm is proved , meanwhile the reasonable ranges of parameter values in the algorithm are defined and the sensitivity of the parameters in the model are analyzed with numerical example simulation.