关键词: 不确定性, 鲁棒优化, 应急救援供应链, 选址分布

Abstract: 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.

Key words: uncertainty, robust optimization, emergency relief supply chain, location distribution