Abstract: In order to solve the problem of blood supply chain network design, a multi-objective robust optimization design model is established. Firstly, for the blood supply chain network with five nodes, an optimization function with minimum cost and minimum storage time is established, and the established model is processed by the - constraint, Pareto optimization and robust optimization methods, and the multi-objective problem is transformed into a single-objective robust problem. Secondly, on the basis of the original whale algorithm, the crossover and mutation concepts of the difference algorithm are introduced to enhance its search ability and improve its limitations, and the Improved Difference Whale Optimization Algorithm (DWOA) is obtained. Finally, the advantages and performance of the algorithm and model are verified by numerical examples and simulation analysis.