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Exploring the Vulnerability of Supply Chain Networks from the Perspective of Network Collaborative Relationships

Author

Listed:
  • Xiaoli Zhang

    (Anhui Technical College of Mechanical and Electrical Engineering)

  • Qing Wang

    (Anhui Technical College of Mechanical and Electrical Engineering)

  • Binglong Zhao

    (Zhejiang Wanli University)

  • Jiafu Su

    (International College, Krirk University)

Abstract

Aiming at the structural complexity and vulnerability of the supply chain network (SCN) under the modern production mode, this paper proposes a weighted node contraction method for quantitative vulnerability analysis for SCN to help managers to maintain the efficient and stable operating condition of SCN. First, the SCN topological structure is analyzed and the weighted network model of SCN is further proposed to more accurately portray the SCN. Based on the weighted SCN model, a weighted node contraction method is developed to perform the cohesion degree analysis, and the cohesion degrees before and after the network contraction are compared to identify the important nodes in SCN. Then, the collaborative relationships between SCN nodes are analyzed, and the vulnerability of SCN is quantified by the calculation of weighted network node cohesion degree. Finally, the effectiveness of the method is verified by the case study. This study comprehensively considers the physical location of each node in the SCN and their mutual influence relationship on SCN vulnerability, thus it can better reflect the reality of SCN vulnerability, which can provide a helpful decision support for monitoring and managing of SCN vulnerability to reduce its adverse effects.

Suggested Citation

  • Xiaoli Zhang & Qing Wang & Binglong Zhao & Jiafu Su, 2024. "Exploring the Vulnerability of Supply Chain Networks from the Perspective of Network Collaborative Relationships," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 11041-11062, September.
    • Handle: RePEc:spr:jknowl:v:15:y:2024:i:3:d:10.1007_s13132-023-01523-2
    DOI: 10.1007/s13132-023-01523-2
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