Research on Complex Optimization Models and Efficient Algorithms for Medications Supply Chain during Major Epidemic

Abstract

The outbreak of the epidemic has had a huge impact on people's lives and economies. Research on the medications supply chain during major epidemic events is a major focus of people's attention and an important part of emergency management work, which is related to the vital interests of people and production enterprises. The supply of medications is an important foundation for the smooth implementation of emergency management work. Based on this, this article conducts empirical research on the multi-product two-level medication supply chain of a pharmaceutical company in Shanghai through optimization models. The medication supply chain consists of three warehouses, each equipped with two types of medications, A and B, which need to be transported to seven disaster-stricken medication demand points. Establish a relevant linear programming model to minimize transportation costs, and then use Lingo software to solve the model. The obtained data results are analyzed, the optimal solution is given, and the model is verified to be the optimal result. Meanwhile, a comparative analysis was conducted on the costs of the supply chain optimization strategy and non-optimization strategy. The research results indicate that the optimal solution not only minimizes transportation costs but also has the shortest transportation path, which can transport medications to various affected areas at the fastest speed, avoiding secondary damage caused by medications shortages in affected areas and ensuring smooth emergency management work.