基于大数据环境下的物流企业管理的优化思考  

Optimization Thinking of Logistics Enterprise Management based on Big Data Environment

作　　者：刘斯媛 Liu Siyuan

机构地区：[1]黄河交通学院,河南焦作454950

出　　处：《时代汽车》2024年第18期10-12,共3页Auto Time

摘　　要：随着科学技术快速发展,大数据技术被广泛应用到各行业中,不仅能够为各行业带来较大便利性,还可以提升各行业工作的质量和效率。在大数据环境下,物流企业的管理理念与模式较为落后,难以满足社会发展的需求,所以物流企业应该利用大数据技术与理念,对物流企业管理进行不断优化,有利于提高管理的质量和效率,从而获得群众的认可。该文章对基于大数据环境下的物流企业管理的优化进行思考,并且讲述了物流企业管理的问题与解决策略。With the rapid development of science and technology,big data technology has been widely used in various industries,which can not only bring great convenience to various industries,but also improve the quality and efficiency of work in various industries.In the big data environment,the management concept and model of logistics enterprises are relatively backward,and it is difficult to meet the needs of social development,so logistics enterprises should use big data technology and concepts to continuously optimize the management of logistics enterprises,which is conducive to improving the quality and efficiency of management,so as to obtain the recognition of the masses.This paper discusses the optimization of logistics enterprise management based on big data environment,and describes the problems and solutions of logistics enterprise management.

关 键 词：大数据技术 物流企业管理 问题 优化策略 

分 类 号：F27[经济管理—企业管理]