大数据背景下社区物流配送优化措施分析  

Analysis on Optimization Measures of Community Logistics Distribution under the Background of Big Data

作　　者：原强 YUAN Qiang(Yuncheng Vocational and Technical University,Yuncheng 044000,China)

机构地区：[1]运城职业技术大学,山西运城044000

出　　处：《物流工程与管理》2022年第8期23-25,共3页Logistics Engineering and Management

摘　　要：近些年,消费方式变得越来越多样化,如电子商务、新零售等,多样化的消费方式也影响到了物流业的发展。尤其是在物流末端的社区物流配送,出现了效率低、难以保证货物安全性、时效性差、网点分散等问题。在这种情况下,只有尽可能地优化社区物流末端配送,才可以提高社区配送效率。据此,文中将从大数据分析的角度出发探索具体的优化策略。In recent years,consumption patterns have become more and more diversified,such as e-commerce and new retail,and diversified consumption patterns have also affected the development of logistics industry.Especially in the community logistics distribution at the logistics end,there are some problems,such as low efficiency,no guarantee of the safety of goods,poor timeliness,scattered outlets and so on.In this case,people must try their best to optimize the community logistics terminal distribution,so as to improve the efficiency of community distribution.Therefore,this paper will explore specific optimization strategies from the perspective of big data analysis.

关 键 词：大数据 社区 物流配送 

分 类 号：F252[经济管理—国民经济]