Based on uncertainty theory, supply chain models are presented,where the customers demands is characterized as uncertain variables.The objective is to minimize the combined costs incurred in the manufacturing and logistics phases.When these uncertain variables are linear, the objective function and constraints can be converted into crisp equivalents, the model is a nonlinear programming, then can be solved by traditional methods.