Workforce allocation and configuration decisions at airport security checkpoints (e.g., number of lanes open) are usually based on passenger volume forecasts. The accuracy of such forecasts is critical for the smooth functioning of security checkpoints where unexpected surges in passenger volumes are handled proactively. In this article, we present a forecasting model that combines flight schedules and other business fundamentals with historically observed throughput patterns to predict passenger volumes in a multi-terminal multi-security screening checkpoint airport. We then present an optimization model and a solution strategy for dynamically selecting a configuration of open screening lanes to minimize passenger queues and wait times that at the same time determine workforce allocations. We present a real-world case study in a US airport to demonstrate the efficacy of the proposed models.

机场安全检查站的劳动力分配和配置决策（例如，开放的车道数量）通常基于乘客量预测。此类预测的准确性对于安全检查站的顺利运行至关重要，在该检查站中，要积极应对旅客数量意外增加的情况。在本文中，我们提供了一种预测模型，该模型将航班时刻表和其他业务基础与历史上观察到的吞吐量模式相结合，以预测多终端多安全检查站机场的旅客数量。然后，我们提出一种优化模型和一种解决方案策略，用于动态选择开放式筛选车道的配置，以最大程度地减少乘客队列和等待时间，同时确定劳动力分配。