Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

Research Article

Application of Big Data Technology in Supply Chain Warehouse Operation Management and Control Platform

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  • @INPROCEEDINGS{10.4108/eai.15-12-2023.2345416,
        author={Jianfeng  Wu and Cheng  Yu},
        title={Application of Big Data Technology in Supply Chain Warehouse Operation Management and Control Platform},
        proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={PMBDA},
        year={2024},
        month={5},
        keywords={big data; supply chain; warehousing operation},
        doi={10.4108/eai.15-12-2023.2345416}
    }
    
  • Jianfeng Wu
    Cheng Yu
    Year: 2024
    Application of Big Data Technology in Supply Chain Warehouse Operation Management and Control Platform
    PMBDA
    EAI
    DOI: 10.4108/eai.15-12-2023.2345416
Jianfeng Wu1,*, Cheng Yu2
  • 1: State Grid Jinhua Electric Power Supply Company
  • 2: State Grid Zhejiang Electric Power Company Material Branch
*Contact email: 770921640@qq.com

Abstract

In order to understand the application of supply chain in warehouse operation management and control platform. A research on the application of big data technology in the management and control platform of supply chain warehousing operation is put forward. This paper first describes the big data in the supply chain. In the process of rapid growth of the amount of data produced in the practice of supply chain management, big data analysis has a very large room for growth in the supply chain. Secondly, a warehouse operation support platform based on big data analysis is proposed to solve the data integration problem of the warehouse, and the enterprise operation information is deeply mined by using big data analysis technology, so that warehouse managers can fully understand the key indicators of all aspects of warehouse operation in time, and at the same time solve the coordination, management, collaboration and decision-making in the whole process of enterprise management and control. Finally, the study shows that the warehouse business support platform is suitable for large and scattered enterprises with many warehouses, it not only helps people manage the warehouse and understand the products in time, but also uses big data in the logistics business.