In the face of an emergency, regionally coordinated allocation is an important prerequisite for maintaining the normal order of production and living. Considering the complexity and uncertainty of the emergencies in local governments, this paper establishes a two-stage process for allocating medical resources. In the first stage, cooperative regions with incomplete weights and multidimensional uncertain information ranked via a novel decision-making method. The second stage is an optimal strategy which the optimization model is established to minimize the cost incurred by the local government considering two components of cost. The first stage is the reserve cost for the local government to prepare a certain amount of flexible procurement materials to respond to a public health emergency. The second is the scheduling cost when cooperative regions support medical resources. Theoretically, the optimal allocation of the reserve of different kinds of medical resources is deduced at the lowest cost. Through numerical simulation and sensitivity analysis, we explore the impacts of attribute weights, resource reserve capacity, unit costs, and the number of cooperative regions on the demand for different kinds of medical resources and the total costs incurred by local governments. This study provides a regional coordinated allocation framework and theoretical reference for government departments responding to the emergencies.

中文翻译：

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基于多维不确定信息的区域医疗资源协调配置策略

面对突发事件，区域协调配置是维持正常生产生活秩序的重要前提。考虑到地方政府突发事件的复杂性和不确定性，本文建立了两阶段的医疗资源配置流程。在第一阶段，通过一种新颖的决策方法对具有不完全权重和多维不确定信息的合作区域进行排序。第二阶段是优化策略，考虑成本的两个组成部分，建立优化模型以最小化地方政府所产生的成本。第一阶段是当地政府准备一定数量灵活采购物资以应对突发公共卫生事件的储备成本。二是合作地区支持医疗资源时的调度成本。理论上，可以以最低的成本推导出不同种类医疗资源储备的最优配置。通过数值模拟和敏感性分析，探讨属性权重、资源储备能力、单位成本、合作区域数量对各类医疗资源需求和地方政府总成本的影响。本研究为政府部门应对突发事件提供区域协调配置框架和理论参考。