Air traffic congestions for processing relief cargos under post-disaster relief scenarios are common, due to high transport demands within a short time. To enhance the resilience of relief operations at airport, an optimization problem of relief air cargo transportations involving aircraft sequencing and loading/unloading within a designated hangar is studied in this paper. The objective is minimizing the tardiness in fulfilling inbound and outbound relief cargos. A mixed-integer linear programming model is formulated, which incorporates aircraft sequencing and hangar parking planning. To resolve the practical problem efficiently, we propose a two-stage optimization approach, which reduces complexity in solving the original model by coordinating the decisions of aircraft landing and take-off schedule and cargo hangar parking arrangement through iterations. The efficiency of the proposed method is examined through the computational results. High-quality solutions can be obtained by the two-stage optimization method within a reasonable time for practical implementation, which enhances the responsiveness and resource utilization of airport operations management under disaster relief situations.

由于短时间内的高运输需求，在灾后救援情景下处理救援货物的空中交通拥堵很常见。为提高机场救援行动的弹性，本文研究了飞机排序和指定机库内装卸的救援航空货运优化问题。目标是最大限度地减少进出境救济货物的延误。制定了混合整数线性规划模型，其中包括飞机排序和机库停车规划。为了有效地解决实际问题，我们提出了一种两阶段优化方法，通过迭代协调飞机起降时间表和货机停放安排的决策，降低了求解原始模型的复杂性。通过计算结果检验了所提出方法的效率。通过两阶段优化方法，可以在合理的时间内得到高质量的解决方案进行实际实施，提高了机场运营管理在救灾情况下的响应能力和资源利用率。