Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

Research Article

IoT-based Supply Chain Performance Measurement System: A Conceptual Framework

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  • @INPROCEEDINGS{10.4108/eai.27-10-2023.2341931,
        author={Peifeng  Xu and Dan  Xia and Qi  Tang and Zhiyuan  Shuai},
        title={IoT-based Supply Chain Performance Measurement System: A Conceptual Framework},
        proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China},
        publisher={EAI},
        proceedings_a={ICEMBDA},
        year={2024},
        month={1},
        keywords={supply chain management (scm) internet of things (iot) performance measurement system smart supply chain},
        doi={10.4108/eai.27-10-2023.2341931}
    }
    
  • Peifeng Xu
    Dan Xia
    Qi Tang
    Zhiyuan Shuai
    Year: 2024
    IoT-based Supply Chain Performance Measurement System: A Conceptual Framework
    ICEMBDA
    EAI
    DOI: 10.4108/eai.27-10-2023.2341931
Peifeng Xu1, Dan Xia2, Qi Tang3, Zhiyuan Shuai4,*
  • 1: State Grid Corporation of China
  • 2: State Grid Digital Technology Holding Co., LTD
  • 3: Southwestern University of Finance and Economics
  • 4: Chongqing University
*Contact email: 423548727@qq.com

Abstract

The normal and effective operation of the supply chain is the key factor to ensure the development of enterprises. With the complexity of the internal and external environment, the harm caused by the non-ideal management of the supply chain also occurs. It is an important task of enterprise management to evaluate the supply chain scientifically and rationally, and then control the direction of the supply chain. Therefore, based on the setup of the supply chain performance measurement system and the technical architecture of the Internet of Things (IoT), this paper proposes a measurement system suitable for the technical environment of the IoT and its corresponding architectural functions, which provides a good reference for the subsequent research on intelligent supply chain computing models.