Robusth location model of enterprise logistics center

Based on the idea of robust design and stochastic chance constrained programming mehtod, a robust location model of enterprise distribution logistics centers was constructed under the uncertain conditions of customer's demand and manufacture center's processing amount, and the standard error of location allocating cost was integrated into object function to achieve robust location. The solving method of the model was discussed, and the programming thinking based on combination genetic algorithm was expounded. The model and its algorithm were validated by an example. Analysis result indicates that compared with normal model, the standard error of robust location model allocating cost reduces by 31.5%, and logistics network robustness enhances evidently, so the model is rational and valid.