生鲜电商末端配送顾客取货点的选址决策方法

A Decision-making Method to Locate Distribution Terminals for Fresh Food E-commerce

生鲜产品具有易腐易逝的特性,这对现今电子商务物流配送服务尤其是末端配送提出了非常高的要求。为了降低配送成本、提高配送效率,文章提出一种通过配置顾客取货点解决生鲜产品末端配送难题的方法。首先基于需求数据采用聚类方法将配送时空有限化,然后通过TOPSIS评价在有限空间内选出最优的顾客取货点。这种方法融合了定量分析与定性评价的优势,可行性强,能够有效缓解当前生鲜产品配送"最后一公里"配送成本高、取货时间不一致、质量难以保证等问题,为生鲜产品电子商务物流配送企业末端配送智能保温箱的配置和顾客自助取货点的管理决策提供了理论方法参考。

Fresh food is a type of products with perishable natures, which presents higher requirements for E-commerce distribution service especially the end delivery. Considering the balance between cost and efficiency, we propose a method to deal with the fresh food delivery by allocating distribution terminals. First, the whole distribution area is transformed into several finite spaces by clustering algorithm. Then, the optimal distribution terminal is selected in the finite space by TOPSIS evaluation method. This method merges the advantages of quantitative analysis and qualitative evaluation which is feasible to solve the puzzle of last-mile to keep away to high distribution costs, inconsistent pickup time and bad guaranteed quality. This paper has significant implication to the decision-makings on configurations of intelligent incubators and consumer self-service points for logistics distribution of fresh products E-commerce companies.