Analysis of Key Risks in Fresh Products Supply Chain Logistics Based on the N-K/SNA Model

Abstract

The logistics risk of a fresh product supply chain involves many risk factors, such as the internal and external environments of the enterprise and each link in the production process. It is important to effectively control the logistics safety of fresh products in China by determining the large risk coupling relationship and key risk factors from a systematic perspective. This study sorts out the direct and indirect risk factors and their relationship, identifies related risk factors using the cause and effect feedback chart, constructs a risk factor analysis model by combining the coupling value of the N-K model, the 1-mode network block model of the social network analysis (SNA) model, and the centrality analysis of the 2-mode network, and comprehensively studies the key risk factors for fresh product supply chain logistics in China. The results show that storage and sorting have great risk value when coupled with other risk factors, therefore, special management should be adhered to. Second, the risks of the sorting plan, sorting quality inspection, distribution, loading and unloading, and distribution accidents are also key risk factors that need to be focused on, prevented and controlled. Finally, guided by the results, management and control suggestions are proposed to better prevent risks and improve the logistics management of fresh product supply chains.

Keywords

• Fresh products supply chain
• risk coupling
• N-K/SNA model
• fuzzy probability
• key risk