Research on Fresh Agricultural Product Supply Chain Network Optimization under Cold Chain Subsidy Policies

To investigate the impact of cold chain subsidy policies on the design of fresh agricultural product supply chain networks, this study proposes a mathematical optimization model under government subsidy schemes. The model aims to minimize total economic costs, taking into account multiple transportation modes, various types of storage facilities, and quality loss of fresh produce throughout the supply chain. This study further examines the effects of different subsidy rates and subsidy targets on the network design outcomes. Genetic Algorithm (GA) is employed to solve the model, and numerical experiments are conducted to validate the model’s effectiveness and robustness. Results show that subsidy strategies significantly affect network configuration, cost performance, and product freshness. The study also offers policy insights by comparing different subsidy intensities and allocation targets, helping governments design more effective support schemes.