关键词: 应急物资调度, 多目标优化, VDCWPSO算法, 突发事件, 新冠肺炎疫情

Abstract: The scheduling of emergency materials is highly uncertain and dynamic under emergency events. Whether the trans-regional scheduling plan of emergency materials can be formulated scientifically and reasonably has an important impact on the effective implementation of emergency rescue. Taking the COVID-19 case in Wuhan as an example, considering the factors such as time difference, regional dispersion and capital consumption of trans-regional dispatching of emergency materials, in this paper, a three-level trans-regional dynamic material scheduling network model with different material varieties and different transportation modes under multiple periods and the time window constraints with soft and hard requirements is established and an adaptive particle swarm optimization algorithm with the mutation operation and dynamic variable inertia weight is designed. The effectiveness and feasibility of the algorithm are verified by the real epidemic data. The result of research shows that under the principle of ensuring the timeliness, fairness and economy of emergency supplies, the trans-regional dispatching of materials can alleviate the serious shortage of medical materials in Wuhan, improve the utilization rate of medical materials resources, and it also provides decision support for the formulation and dynamic adjustment of emergency material scheduling plan under emergency events.

Key words: emergency material dispatching, multi-objective optimization, VDCWPSO optimization, unexpected events, COVID-19 outbreak