Research On Construction Of Community Logistics Distribution Network

t:As the resident livelihood logistics, the community logistics has attracted the attention of government, theoretical circle and industry of logistics as well as related aspects. Due to the development of e-commerce, urban community residents can order to purchase daily necessities high frequently and low costly, but since logistics distribution network is not developed, the desire of the community residents to improve the quality of life is seriously restricted. How to build suitable community logistics distribution network will be the common subject of government departments and relevant enterprises in the future.By reading the related documentations about community logistics of domestic and abroad, the author summarizes the research results, and analyzes the current situation and the problems that exist in the developing process of the community logistics in our country. The author’s research shows it is feasible that building the community distribution network for fresh items and the items shopped online. The setting and locating principles of the community distribution network end nodes (ie, community service shop) are offered. Combining with the general structure of distribution network, the author builds a suitable two-hierarchy community logistics distribution network structure. The possible problems that may exist in the process of distribution system operate are analyzed, and the corresponding solution measures are offered too.By taking the distribution radius and carry capacity as constraint conditions, the author uses two-stage K-means algorithm to cluster community service shops, and determines the distribution region of distribution centers, and constructs a suitable model for distribution center’s locating. Basing on the clustering result, the incompatible two kinds items, i.e. fresh items and the items shopped online, are united in a model to be solved.Since bottom-up approach is used to build distribution network step by step, a multi-objective programming is converted into two relatively independent single goal programming, so the network’s optimization result is of good controllability, and the algorithm’s complexity is greatly reduced. Finally, a numerical example of the model is validated.