Search

A report from Xuzhou University of Technology in China discusses the use of mathematical models to predict the impact of regional return to work after an epidemic. The researchers propose a multistage mixed integer programming model for humanitarian logistics and transport resources, specifically focusing on the distribution and delivery of medicine resources in a cost-effective and efficient manner. The proposed model is solved using a Benders decomposition algorithm, and two case studies are used to validate the model and algorithm. The research concludes that the model and algorithm are effective in solving the dynamic medicine demand information in humanitarian relief situations. [Extracted from the article]