Research On Fresh Produce E-Commerce Supply Chain Risk Based on Particle Swarm Algorithm

Abstract

China's fresh produce e-commerce is currently undergoing rapid development, but the short shelf life and easy loss of fresh produce have led to frequent risks in the fresh produce e-commerce supply chain. Therefore, effective identification and prevention of these risks are crucial to the booming fresh produce e-commerce industry. Considering the closeness and complexity of the linkages between various actors in the fresh produce e-commerce supply chain, this paper summarises the existing research and divides the fresh produce e-commerce supply chain risks into three levels: upstream risk, downstream risk, and platform risk, identifies the factors affecting the occurrence of risks at each level, analyses the importance of the influencing factors using a particle swarm algorithm, and proposes targeted risk prevention and control measures.