Study on Assembly Optimization Scheme for Epidemic Prevention and Anti-Epidemic Materials

Abstract

This paper considers epidemic prevention and anti-epidemic materials as the research object. Based on the relationship among epidemic prevention and control materials, support personnel, and assembly tools, the mathematical model of assembly materials was established with the shortest transportation time and full load as the objective function. An improved genetic algorithm proposed a practical algorithm for loading and scheduling assembly tools. The loading materials, personnel, and scheduling scheme were given through numerical simulation. It was of great significance for improving the scientific and timeliness of the assembly of anti-epidemic materials.