需求与物流网络不确定下的应急救援选址问题

Facility location in emergency relief with uncertain demand and logistics network

针对应急物流中需求与物流网络的不确定性特征,对应急救援中应急需求和物流网络均不确定条件下的应急配送中心选址问题进行研究,以成本最小化为目标,建立基于集合覆盖的应急救援设施选址的随机规划模型,采用期望值法和随机模拟两种方法处理数学模型中的不确定性。通过算例与仿真研究,获得应急救援下的配送中心选址最优方案。结果表明,相对于传统的期望值方法处理随机参数,随机模拟方法具有较明显优势。

With regard to the uncertain demand and logistics network in emergency relief, the problem of locating emergency distribution centers was studied to cope with uncertain demand and logistics network. The stochastic programming models based on set covering model were built to minimize the cost. Two different approaches, expected-value model and stochastic simulation were employed to solve uncertainty of the model. By samples and simulation study, the optimal solution of locating emergency distribution centers was obtained. It is found that stochastic simulation is a superior approach compared with expected-value model.