Considering the emergency cases,we need to meet the demand as much as possible in the shortest time so as to save more lives and property at the price of freight.In this paper,the objective of model is to minimize the delay time and mini-mize unmet demand.First we introduce a deadline for the arriving goods.Then the maximum,average and resource reservation strategy were used to solve the vehicle routing problem with demand and travel time uncertainty.Finally,the model is solved with the help of CPLEX and numerical experiments proved the advantage of robust optimization method under the uncertain environ-ment.%考虑到应急情况下，需要在最短的时间下满足尽可能多需求，从而挽救更多的生命和财产甚至不惜以运费为代价，所以文中的模型以最小化延迟时间和最小化未满足需求为目标研究需求和旅行时间都不确定的车辆路径问题。首先，引入了一个允许最晚到货时间；然后，应用最大化策略、平均策略和资源保留策略三种鲁棒策略；最后，借助CPLEX对模型进行求解，并进行数值实验证明鲁棒优化方法在不确定环境下的优势。
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