Agri-food supply chain network disruption propagation and recovery based on cascading failure

Zhuyue Li, Peixin Zhao and Xue Han

Physica A: Statistical Mechanics and its Applications, 2022, vol. 589, issue C

Abstract: In recent years, some extreme weather and public health events have led to frequent disruptions in agri-food supply chain networks in China, and scholars recognize the importance of this problem, but there are relatively few studies on the disruption propagation. Firstly, we construct the agri-food supply chain networks and the weak tie networks, and innovatively introduce weak ties into the disruption propagation of the agri-food supply chain networks. Secondly, we analyze the impact of two strategies, strengthening existing business relationships and establishing new business relationships, on the disruption propagation of agri-food supply chain networks under extreme natural disasters or unexpected wholesale market closures. Based on the results, the impact of disruption recovery on supply–demand relationships in agri-food supply chain network is analyzed. This research provides decision-making reference against supply chain disruptions and related problems.

Keywords: Agri-food; Supply chain network; Disruption propagation; Resilience (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:589:y:2022:i:c:s0378437121008712

DOI: 10.1016/j.physa.2021.126611

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