After the outbreak of major emergencies, the scheduling of emergency supplies is the key to the emergency rescue work, and the establishment of appropriate emergency logistics centers plays a crucial supporting role. In order to deal with the problem of emergency facility location and material distribution in urban emergency logistics system, this paper establishes a dual objective mixed integer nonlinear programming (MINLP) model with the objective of minimizing the emergency rescue time and maximizing the satisfaction rate of emergency material demand, designs a genetic algorithm to solve the emergency logistics location and allocation model, and obtains the Pareto optimal solution set of the model. Finally, a case study of COVID-19 epidemic in Beijing-Tianjin-Hebei region was carried out to verify the feasibility and effectiveness of the model and algorithm in the actual application, which can provide reference and suggestions for the location and material distribution of urban emergency logistics centers.

中文翻译：

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重大突发事件下城市应急物流的多目标定位研究

重大突发事件爆发后，应急物资的调度是应急救援工作的关键，建立适当的应急后勤中心起着至关重要的支持作用。为了解决城市应急物流系统中应急设施的选址和物资分配问题，建立了一个双目标混合整数非线性规划（MINLP）模型，其目的是使应急救援时间最小化，并最大限度地提高应急满意度。物料需求，设计遗传算法求解应急物流选址和分配模型，并获得该模型的帕累托最优解集。最后，