Efficient Emergency Logistics for Fresh Products in Public Health Crises

COVID-19 posed significant challenges to emergency supply distribution due to strict quarantine measures and limited transport resources. To ensure the timely delivery of farm fresh products to geographically dispersed residents, this study proposes three distribution models: a single distribution centre, a temperature zone-based multi-vehicle model, and a multi-distribution centre model tailored for groups of multiple sizes. The intention includes reducing vehicle usage, average response time, and infection risk. A multi-intention advancement model is developed, and an enhanced genetic algorithm incorporating destruction, repair, and greedy operators is applied and validated through experimental research. The results demonstrate the procedures superior settling speed and effectiveness. The study offers strategic guidance for government decision-making in emergency supply logistics during public health crises.