基于互联网技术的农产品物流网络优化模型

L. Tian
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引用次数: 0

摘要

“互联网+”时代已经到来,它通过网络平台与传统行业提供新产品,提供新价值、新服务,挖掘新商业模式;互联网的发展可以渗透到各行各业,可以创造无限的价值,为人们的生活提供极大的便利和创造力。随着物流业的发展,它已成为国民工业的核心支柱。在每一个物流过程中,都需要互联网的支持,它已经成为物流企业非常宝贵的资产。借助互联网和大数据,帮助物流企业向智能物流方向转型升级,使企业能够快速掌握市场环境,了解客户需求,从而做出正确有效的决策。中国是一个农业大国,农业是国民经济发展的基础产业。作为农业大国,农产品物流环节多,流通周期长,经济效益和农产品质量安全最大。为了解决这一问题,本文主要采用文献研究法、比较分析法和网络研究法,结合物流管理相关知识,引入智能物流、农产品物流一体化理论,对X省2015-2020年林牧渔业总产值与2020年人均可支配收入(10186元)数据进行整合,互联网的深入研究为农产品物流企业带来了机遇和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization Model of Agricultural Product Logistics Network Based on Internet Technology
"Internet +" era has arrived, it provides new products through network platform and traditional industries, provide new value, new services, mining new business model; the development of the Internet can penetrate into all walks of life, can create infinite value, provide great convenience and creativity to people's life. With the development of the logistics industry, it has become the nuclear pillar of the national industry. In every logistics process, it needs the support of the Internet, and it has become a very precious asset of logistics enterprises. With the Internet and big data, it will help logistics enterprises to transform and upgrade in the direction of intelligent logistics, so that enterprises can quickly grasp the market environment and understand customer needs, so as to make correct and effective decisions. China is a big agricultural country and agriculture is the basic industry of national economic development. As an agricultural country, most agricultural logistics, circulation links and long circulation cycle, and the greatest economic benefit and the quality and safety of agricultural products. n order to solve this problem, this paper mainly by literature research, comparative analysis and network research methods, combined with logistics management knowledge, the introduction of intelligent logistics, agricultural products logistics integration theory, X province in 2015-2020 forestry animal husbandry fishery total output value and 2020 per capita disposable income (10186 yuan) data integration, in-depth research on the Internet brings opportunities and challenges for agricultural products logistics enterprises.
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