%0 Journal Article
%T 防疫抗疫物资装配优化方案研究<br>Study on Assembly Optimization Scheme for Epidemic Prevention and Anti-Epidemic Materials
%A 庞国楹
%A 刘佳
%A 刘俊
%A 郭彦
%J Management Science and Engineering
%P 171-175
%@ 2167-6658
%D 2022
%I Hans Publishing
%R 10.12677/MSE.2022.112021
%X 本文以防疫抗疫物资装配为研究对象，通过防疫抗疫物资和保障人员组合、装配工具之间的关系，选取装配时间最短和满装配量为目标函数，建立了装配物资的数学模型；采用改进的遗传算法，构建了装配工具的装载和调度问题的有效算法；通过数值仿真给出了装配工具装载物资和人员以及调度的方案。这为提高抗疫防疫物资装配的科学性和时效性具有重要意义。<br />
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.
%K 防疫抗疫物资，装配模型，遗传算法<br>Epidemic Prevention and Anti-Epidemic Materials
%K Assembly Model
%K Genetic Algorithm
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=52993