基于大数据的物流“最后一公里”问题分析  

“Last Kilometer”Problem Analysis of Logistics Based on Big Data

作　　者：刘定一[1] 应毅[2] 李晓明 LIU Dingyi;YING Yi;LI Xiaoming(College of Innovation and Entrepreneurship,Sanjiang University,Nanjing 210012,China;College of Computer Science and Engineering,Sanjiang University,Nanjing 210012,China)

机构地区：[1]三江学院创新创业学院,江苏南京210012 [2]三江学院计算机科学与工程学院,江苏南京210012

出　　处：《现代信息科技》2020年第4期168-169,共2页Modern Information Technology

基　　金：江苏高校哲学社会科学研究基金项目(2019SJA0495);江苏省高等学校自然科学研究面上项目(17KJB520033);江苏高校“青蓝工程”(苏教师[2018]12号)。

摘　　要：随着国内外电子商务贸易额的逐年增长,快递业务为基础的物流业也得到了快速发展,然而电商物流“最后一公里”的配送成本、投递的成功率、顾客的满意度也成为当前亟待解决的问题。运用大数据技术对物流末端的配送模式和有限区域物流的对象进行了深入分析,使得终端配送的成效得到提高。物流末端配送使用大数据技术有效提升了投递的效率。With the annual growth of domestic and foreign e-commerce trade,the logistics industry based on express delivery has also developed rapidly.However,the“last kilometer”distribution cost,delivery success rate,and customer satisfaction of e-commerce logistics have also become current.Urgently needs to be resolved.Using big data technology to conduct in-depth analysis of the distribution mode at the end of the logistics and the objects of limited area logistics,so that the effectiveness of terminal distribution has been improved.The use of big data technology at the end-of-logistics distribution has effectively improved the efficiency of delivery.

关 键 词：大数据 电子商务 物流业 快递 最后一公里 

分 类 号：F253.9[经济管理—国民经济]