Proceedings of the 4th International Conference on Informatization Economic Development and Management, IEDM 2024, February 23–25, 2024, Kuala Lumpur, Malaysia

Research Article

Design and Implementation of an Intelligent Hybrid Assessment Framework for Supplier Risk

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  • @INPROCEEDINGS{10.4108/eai.23-2-2024.2345897,
        author={Haibo  Zhang and Xi  Yang},
        title={Design and Implementation of an Intelligent Hybrid Assessment Framework for Supplier Risk},
        proceedings={Proceedings of the 4th International Conference on Informatization Economic Development and Management, IEDM 2024, February 23--25, 2024, Kuala Lumpur, Malaysia},
        publisher={EAI},
        proceedings_a={IEDM},
        year={2024},
        month={5},
        keywords={supplier risk random forest lstm network supply chain management artificial intelligence},
        doi={10.4108/eai.23-2-2024.2345897}
    }
    
  • Haibo Zhang
    Xi Yang
    Year: 2024
    Design and Implementation of an Intelligent Hybrid Assessment Framework for Supplier Risk
    IEDM
    EAI
    DOI: 10.4108/eai.23-2-2024.2345897
Haibo Zhang1, Xi Yang1,*
  • 1: Southwest University of Science and Technology
*Contact email: 369440775@qq.com

Abstract

Against the backdrop of an ever-changing global economic environment and increasingly complex supply chains, supplier risk assessment has become a key component of enterprise supply chain management. This paper aims to address the issue of incomplete data utilization in traditional supplier assessment methods, especially in handling unstructured data and responding to market fluctuations. For this purpose, the paper proposes a multi-model hybrid scoring framework that combines machine learning and deep learning. This framework integrates these technologies to comprehensively assess supplier risks. Experimental results show that the framework designed in this paper is more accurate and effective in identifying suppliers of different risk levels compared to traditional methods, helping enterprises better navigate market changes and supply chain complexities, thereby maintaining a competitive edge.