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Author: search.filters.author.Zheng, ZhongSubject: search.filters.subject.Big data

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    Technical Scheme for Optimizing Urban and Rural Logistics Operations and Improving the Informatization of Rural Logistics
    (2024-02-13)
    Zheng, Zhong
    ;
    He, Wanxian
    ;
    Wei, Ganglan
    In order to optimize the core problems encountered in the operation of urban and rural logistics and improve the informatization degree of rural logistics, the authors of this paper conduct research on the application of big data, cloud computing, and other technologies in urban and rural logistics and informatization. Based on the current problems, the authors adopt the hierarchical design, C/S architecture, and cloud API technology to improve the low level of informatization in urban and rural logistics, as well as optimize the dispersion and repetitive construction of logistics resources for logistics enterprises in urban and rural areas. Overall, a feasible sharing technology solution for urban-rural logistics informatization has been provided, providing a certain reference for optimizing urban-rural logistics operations and improving rural informatization issues.
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    The Application of Data-Driven Technologies to Enhance Supply Chain Resilience in the Context of COVID-19
    (2021-01-01)
    Zheng, Zhong
    ;
    Lin, Yun
    ;
    Li, Liwei
    ;
    Lu, Liuqing
    ;
    Pan, Yanfang
    The sudden outbreak of COVID-19 has wreaked havoc on global supply chains. Fortunately, digital drive technology can improve supply chain resilience. This paper is based on literature review to research the impact of COVID-19 to supply chain, to research the interplay of supply chain resilience and data-driven technology, focuses on the operation mechanism of data-driven technology (digital twin, blockchain, big data) and integration them together to enhance the resilience of supply chain. This paper try to presents an effective perspective of supply chain resilience by data-driven technology, and it can provide some reference and guidance for improving the resilience of supply chain during and after the COVID-19.