In the aftermath of a hurricane, humanitarian logistics plays a critical role in delivering relief items to the affected areas in a timely fashion. This paper proposes a novel stochastic look-ahead framework that implements a two-stage stochastic programming model in a rolling horizon approach to address the evolving uncertain logistics system state during the post-hurricane humanitarian logistics operations. The two-stage stochastic programming model that executes in this rolling horizon approach is formulated as a mixed-integer programming problem. The model aims to minimize the total cost incurred in the logistics operations, which consist of transportation cost and social cost. The social cost is measured as a function of deprivation for unsatisfied demand. Our extensive numerical results and sensitivity analysis demonstrate the effectiveness of the proposed approach in reducing the total cost incurred during the post-hurricane relief logistics operations compared to the two-stage stochastic programming model implemented in a static fashion.

飓风过后，人道主义后勤在及时向受灾地区运送救援物资方面发挥了至关重要的作用。本文提出了一种新颖的随机前瞻框架，该框架以滚动式方法实施了两阶段随机规划模型，以解决飓风后人道主义物流行动中不断发展的不确定物流系统状态。在这种滚动式方法中执行的两阶段随机规划模型被表述为混合整数规划问题。该模型旨在最大程度地减少物流活动中的总成本，包括运输成本和社会成本。社会成本是根据需求不足的剥夺来衡量的。