Multi-Objective Optimization of Integrated Civilian-Military Scheduling of Medical Supplies for Epidemic Prevention and Control

Healthcare

Hai-Feng Ling¹  Zheng-Lian Su¹  Xu-Lin Jiang²  Yu-Jun Zheng³ 

[1] College of Field Engineering, Army Engineering University, Nanjing 210007, China;Department of Engineering Technology and Application, Army Infantry College, Nanchang 330100, China;School of Information Science and Engineering, Hangzhou Normal University, Hangzhou 311121, China;

关键词: medical supplies scheduling;    epidemic prevention and control;    multi-objective optimization;    water wave optimization;    civilian-military integration;   

DOI  :  10.3390/healthcare9020126

来源: DOAJ

【 摘 要 】

In a large-scale epidemic, such as the novel coronavirus pneumonia (COVID-19), there is huge demand for a variety of medical supplies, such as medical masks, ventilators, and sickbeds. Resources from civilian medical services are often not sufficient for fully satisfying all of these demands. Resources from military medical services, which are normally reserved for military use, can be an effective supplement to these demands. In this paper, we formulate a problem of integrated civilian-military scheduling of medical supplies for epidemic prevention and control, the aim of which is to simultaneously maximize the overall satisfaction rate of the medical supplies and minimize the total scheduling cost, while keeping a minimum ratio of medical supplies reservation for military use. We propose a multi-objective water wave optimization (WWO) algorithm in order to efficiently solve this problem. Computational results on a set of problem instances constructed based on real COVID-19 data demonstrate the effectiveness of the proposed method.

【 授权许可】

Unknown