Abstract

The warehousing logistics mode of “pre-warehouse plus terminal distribution” is a decentralized resource allocation scheme around the logistics industry at the end of distribution, supporting the development of New Retail, a data-driven extensive retail form centered on consumer experience. Firstly, taking the stand-alone pre-warehouse as the research object, this paper analyzed the distribution characteristics of new retail fresh goods, the consumption structure of demand and the functional characteristics of the pre-warehouse. Secondly, the extended CFLP (Capacitated Facility Location Problem) model was established with processing fee, freshness loss, time penalty and warehouse service capacity. In addition, the one-to-one distribution relationship between demand point and storage facilities in the traditional CFLP model was changed to many-to-many in order to improve the overall facility utilization. Finally, an improved coding genetic algorithm was adopted to solve the nonlinear mixed 0-1 programming model. Therefore, location, matching and distribution volume were showed at the same time. The results of the example demonstrated that the model gave priority to meet the timeliness and fully utilized the facility capacity.

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