不确定环境下应急救援供应链鲁棒优化模型

鉴于灾害救援运作的紧迫性和重要性,考虑需求、供应、成本等参数的不确定性,构建一个由供应商、救援配送中心和受灾区域构成的三级应急救援供应链,旨在确定救援产品数量及救援配送中心的合适位置,以最小化救援供应链总成本,最大化受灾区域满意水平为目标,采用区间数据鲁棒优化方法处理模型的不确定性,应用情景随机规划降低鲁棒优化的计算难度,最后给出一个地震案例的具体数据来证明所提救援供应链鲁棒优化模型的有效性和可行性。实验结果表明,需求保守度的变化对目标函数值的影响大于供给和成本保守度的变化,可为应急救援决策者调整不确定参数保守度提供理论支持。

Robust Optimization Model of Emergency Relief Supply Chain under Uncertain Environment

Due to the urgency and importance of disaster relief operation, considering the uncertainty of demand, supply, and cost parameters, a three-level emergency relief supply chain which consists of suppliers, relief distribution centers and affected areas, is presented to determine the quantity of relief commodity and the appropriate locations of relief distribution centers. While the model tries to minimize the total cost of relief supply chain and maximize the affected area satisfaction level, an interval data robust approach is applied to tackle the uncertainty of the model and the scenario stochastic programming is applied to decrease the calculation difficulty of robust optimization. Finally, an earthquake case is given to demonstrate the effectiveness and feasibility of the proposed robust optimization model for the relief supply chain. The experimental results show that the change of demand conservatism degree has a greater impact on the value of the objective function than the change of supply and cost conservatism, which can provide theoretical support for emergency relief decision makers to adjust the conservatism degree of uncertain parameters.