Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China

Research Article

Risk Analysis of Military Logistics Outsourcing Under The Background of Informatization And Big Data of Logistics

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  • @INPROCEEDINGS{10.4108/eai.17-6-2022.2322732,
        author={Shuai  Yuan},
        title={Risk Analysis of Military Logistics Outsourcing Under The Background of Informatization And Big Data of Logistics},
        proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2022},
        month={10},
        keywords={military logistics outsourcing; risk analysis; logistics informatization; big data of logistics; quantitative measurement},
        doi={10.4108/eai.17-6-2022.2322732}
    }
    
  • Shuai Yuan
    Year: 2022
    Risk Analysis of Military Logistics Outsourcing Under The Background of Informatization And Big Data of Logistics
    ICIDC
    EAI
    DOI: 10.4108/eai.17-6-2022.2322732
Shuai Yuan1,*
  • 1: Northwestern University
*Contact email: Shuai990920@163.com

Abstract

With the rapid development of domestic logistics enterprises and networks, military logistics outsourcing has gradually become an important means of China's military material transportation, delivery and comprehensive support, however its risks are everywhere, especially the Third-Party Logistics (TPL) managed by novel information technologies and mobile management systems is prone to potential risks of loss and disclosure in military information collection, transmission, tracking, mining and analysis. The paper systematically combs and analyzes the risk of military logistics outsourcing under the background of informatization and Big Data of logistics by using the methods of literature investigation, field investigation and expert consultation, and analyzes the connotation of each risk factor in detail; Based on this, each risk factor is quantitatively analyzed and measured by the Applet of analytic hierarchy process (AHP) and expert scoring. The research show that: in terms of primary indicators, the biggest risk factor is the risk from TPL enterprises, followed by the risk of process management of logistics transportation; In terms of secondary indicators, the biggest risk is the asset specificity risk from TPL, the second is the legal environment risk, and the third is military information leakage via Internet, which provides a certain guidance for the risk management of military logistics outsourcing.