Research on location methods of RDC in high-density logistics network points

Many large enterprises are establishing high-density logistics network points to improve customer satisfaction. From the point of logistics efficiency increases, it is an effective method. But it also results in repeated construction. To avoid increasing logistics cost and wasting social resources, a method based on Self-Organizing Feature Map and Baumol-Wolfe model is used. Compared to general location methods, its innovative point is the combined use of cluster analysis, and its result can be easily got by using Matlab and successive-approximation algorithm. In the end, a practical calculation example is used to analyze the feasibility and superiority of this method.