Service-oriented warehouse site selection method in view of regional traffic conditions

Abstract

The invention relates to a service-oriented warehouse site selection method in view of regional traffic conditions. The method comprises the following steps: 1) establishing a logistics network model based on a real road network, wherein road intersections are used as nodes and road segments between adjacent nodes are used as sides in the logistics network model; 2) mapping a client position and the nodes of the logistics network model, predicting the demand information of the client for a variety of spare part in the future according to historical spare part demand information in order to form a plurality of client requests; 3) predicting the weights of respective sides in the logistics network model based on historical taxi trajectory data; and 4) obtaining an optimal warehouse site set by means of iterative optimization based on an improved PAM algorithm. Compared with the prior art, the service-oriented warehouse site selection method is fast and high in efficiency, achieves shortest total time consumed when spare parts are delivered from a warehouse to the client by taking account of the real traffic conditions in respective time periods, so as to minimize the loss of service quality caused by shipping time and to enhance client satisfaction.

Description

technical field [0001] The invention belongs to the field of site selection for spare parts warehouses, in particular to a method for site selection of service warehouses in consideration of regional traffic conditions. Background technique [0002] The first thing to consider when selecting a warehouse is the logistics strategy of the enterprise. The main factors considered by the current logistics strategy are service and cost. According to the different emphasis on these two factors, the logistics strategy can be divided: to improve the service level as the core The "service-oriented" logistics strategy; the "cost-oriented" logistics strategy with cost reduction as the core. [0003] At present, warehouse location algorithms mainly include qualitative and quantitative methods. The qualitative method mainly analyzes various factors that affect the location of the warehouse, and compares their importance to the location decision to obtain the weight of each factor, and to ...

AI Technical Summary

Problems solved by technology

[0005] With the continuous expansion of urban population and scale, urban traffic and road conditions are becoming more and more complex, and the time consumed by spare parts in the transportation process is becoming more and more difficult to estimate, and it is often related to the time period of transportation, even if the same warehouse , in different time periods, the time it takes to reach the same customer is also different. Therefore, real-time traffic conditions have a very important impact on the transportation time of logistics, which cannot be ignored in the location selection of warehouses, but it is rarely considered at present. Algorithm for warehouse location selection based on real-time traffic conditions

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