摘要
在新零售时代,传统连锁超市通过O2O模式进行零售变革,通过线上来挖掘和吸引客源,其关键在于配送的时效性、安全性、便捷性,而配送的一个重要环节便是配送路线的优化,寻找最优的配送路径,可以节省行驶的里程,提高配送效率,实现有效满足顾客的时间诉求。本文利用人本超市“淘鲜达”平台运营数据对其配送问题进行了描述,针对问题构建了带时间窗的配送路径优化模型,通过计算分析,该模型在解决其配送问题上有一定的可行性。
In the era of new retail,traditional retail supermarket chain is changed to O2O Mode,which relies on online sources to explore and attract customers,and its key lies in the distribution of timeliness,safety,convenience.Moreover,an important part of delivery is to optimize distribution route,which means to search for an optimal distribution route,saving mileage,improving the efficiency of distribution and effectively meeting customers'demands.This paper describes the distribution problems of Renben Supermarket based on the operation data of“Tao Xianda”platform,and constructs a distribution path optimization model with time window to solve the problems.Through calculation and analysis,the model is feasible to solve the distribution problems.
作者
何丹
HE Dan(Zhejiang Industry&Trade Vocational College,Wenzhou,325003,China)
出处
《浙江工贸职业技术学院学报》
2021年第1期47-52,共6页
Journal of Zhejiang Industry & Trade Vocational College
基金
2019年浙江工贸职业技术学院访工项目“O2O模式下连锁超市生鲜百货物流配送研究”(F190105)。
关键词
时间窗
配送路径
节约里程法
time window
distribution path
saving algorithm