中文摘要：

研究在突发事件多发区域进行应急储备库的选址与资源配置规划问题.假定了若干随机的突发事件情景,每种情景下物资需求量与运输时间不确定,结合情景分析法,建立了一定应急限制期条件下的两阶段随机规划模型,并设计了混合遗传算法对模型进行求解.研究结果不仅找到了最优的选址与资源配置方案,而且发现牺牲需求满足率与应急限制期带来的成本降低是不经济的.

英文摘要：

In this paper,we propose a scenario-planning based two-stage stochastic programming model for location and allocation of emergency resources after the emergency occurs.Considering the uncertainty of demand and transportation time,we use mix-genetic algorithms as solution strategy which is proved to be effective through the results of the numerical example.More importantly,decision-makers can choose different scheme by changing the demand fill rate based on their preference of system cost and efficiency.The results indicate that lowering the demand fill rate and rescue limit time to reduce system cost is uneconomical.