【摘要】 首先通过物资预测方法得到每个时段受灾地区的救灾物资数量,然后使用模糊聚类方法基于物资需求紧急程度对灾区进行分组,并使用灾变指数方法得到了地震次生滑坡灾害风险,通过优化运输的快速和安全性寻找供需点之间的最佳路径,最后使用模糊多目标规划的方法构建优化模型,其目标函数分别为最大化物资配送的紧急性、公平性以及有效性。论文以玉树地震应急物流配送为例验证了模型,并通过敏感度分析讨论了救灾物资供给量、群组紧急指数以及目标函数权重系数对物资分配结果的影响。更多还原

【Abstract】 First,the relief demand of affected areas in each period was calculated using dynamic relief forecast method.Then the affected areas were classified based on urgency levels for relief demand using fuzzy clustering method.The potential risk of earthquake-induced secondary landslide disaster was obtained using catastrophe index method.The optimal path from supply node to demand node was found out by integrating the transportation rapidity and safety.A time-dependent fuzzy multi-objective model is constructed to solve the relief assignment problem.Three objective functions of the model were designed to cope with the urgency,fairness and efficiency for relief distribution during each planning period.The emergency logistics for Yushu earthquake was taken as an example to validate the proposed model.The sensitivity analysis shows the impacts of supply-demand ratio,group urgency index and weight of objective function on result of relief distribution.更多还原