The Frontiers of Society, Science and Technology, 2023, 5(10); doi: 10.25236/FSST.2023.051014.
Zhu Xiaojing
Shanghai Open University Jingan Branch, Shanghai Jingan District College, Shanghai, China, 200040
In the digital age, the development of big data technology has brought new opportunities and challenges to rural logistics distribution. Based on the optimization of rural logistics distribution mode in big data environment, this thesis first analyzes the problems existing in rural logistics distribution, then discusses the application principle and concrete application of big data in rural logistics distribution, and finally puts forward an intelligent rural logistics distribution mode based on the Internet of Things and cloud computing, and discusses its implementation method and effect.
Big data; Rural areas; Logistics and distribution
Zhu Xiaojing. The Exploration of the Optimization of Rural Logistics Distribution Mode in Big Data Environment. The Frontiers of Society, Science and Technology (2023) Vol. 5, Issue 10: 93-97. https://doi.org/10.25236/FSST.2023.051014.
[1] Zhang Jie(2022). Analysis on the optimization of rural logistics distribution mode in big data environment [J]. Rural Practical Technology, (10):pp.34-36.
[2] Luo Wei(2021). Research on terminal distribution optimization of community logistics in big data environment [J]. Logistics Science and Technology, 44(12):pp.48-50.
[3] Li Muyun Chai Bin(2022). Research on the optimization of logistics enterprise management mode under the background of big data [J]. SME Management and Technology,(11):pp.109-111.
[4] Fu Yi, Liu Yizhi(2023). Research on the Optimization of Logistics Distribution System of Characteristic Agricultural Products Based on Direct Supply of Origin [J]. Logistics Science and Technology, 46(1):pp.41-43.
[5] Chen Ling, Zhou Guangping, Dong Kui(2021). Research on the problems and countermeasures of rural e-commerce logistics development in the era of big data [J].Quality and Market,(11):pp.133-135.
[6] Tan Lei(2022).Research on Chongqing Agricultural Products Logistics Development from the Perspective of New Retail [J]. Logistics Engineering and Management,44(6):pp.99-101.
[7] Wang Yijun, Chen Sihan, Liang Peiqi*2022). Research on crowdsourcing model optimization of rural terminal logistics driven by “internet plus” [J]. Inner Mongolia Science and Technology and Economy, (19):pp.39-41.