Abstract: Based on the size of logistic distribution centers and the characteristics of what the customers demand for business-to-customer (B2C) e-commerce companies, a mathematical model is developed to optimize the design of the distribution centers with a hierarchical agglomerative clustering method used to estimated the fuzzy cost of distribution transport from distribution centers to customers. The model is in fact a mixed 0-1 non-linear fuzzy programming model with NP-hard complexity. It is converted into a clearer one which is solved by a genetic algorithm developed in terms of embedded tabular operation. The effectiveness and feasibility of the model and algorithm are verified by an actual computational example, thus providing a new way for the rational design of distribution centers for B2C e-commerce companies.