网络舆情影响下爆款商品的最优调配方案研究

Research on the Optimal Allocation Scheme of Hot Style Commodities under the Influence of Network Public Opinion

本文主要研究网络舆情引发的爆款商品在地区间与地区内的调配问题,对于地区间商品调配问题,我们采用最短距离模型,优先选取距离缺少商品地区最近的商品储量多的地区配送,直至满足缺少商品地区需求;对于地区内的商品调配,我们采用节约里程法,选择节约里程数最大的路线为最优路线,规划出物流中心最优配送方案。最后,我们以湖南省长沙市为例,运用两个模型,当长沙市缺少某商品时,得到其他地级市向长沙市调配商品的方案,和长沙市黎江智能物流园根据需求向其他区、县物流园区配送商品的最优配送路线方案。

This paper mainly studies the distribution problem of hot style commodities between regions and within regions caused by online public opinions. For the distribution problem of commodities between regions, we adopt the shortest distance model and give priority to the regions closest to the regions lacking commodities with large commodity reserves until the demand of the regions lacking commodities is met. For the distribution of goods within the region, we adopt the mileage saving method, choose the route with the largest mileage saving as the best route, and plan out the best distribution plan of the logistics center. Finally, we take Changsha city of Hunan Province as an example and use two models to get the optimal distribution route scheme for other prefecture-level cities to allocate commodities to Changsha city and the optimal distribution route scheme for Changsha Lijiang Intelligent Logistics Park to distribute commodities to other districts and counties according to demand when Changsha city lacks certain commodities.