Optimised shift scheduling and predictive planning in airport processes

机场流程中优化的班次安排和预测规划

• 批准号: 2131886
• 金额: --
• 依托单位: Loughborough University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2131886
• 关键词: Optimised; shift; scheduling; predictive; planning

For an airport system to be regarded as reliable from a passengers point of view there are many sub systems which need to perform satisfactorily. For example, as part of the arrivals process at an airport, going through passport control can be one area where delays are incurred. Immigration has to deal with massive influxes of passengers at certain times of the day due to high arrival demand periods. These influxes can also be influenced by off schedule activity i.e. aircrafts arriving late due to delays. To improve throughput of passengers in the arrivals terminal and enhance customer satisfaction, on the final leg of their journey, resource allocation is one area of potential change. The problem is how to schedule resources efficiently to maintain service standards and account for off schedule activity. Modelling of current demand and forecasted demand, alongside failure scenarios (i.e. those incidences that could lead to change in demand levels), need to be investigated. The overall aim of this project is to determine an optimised shift schedule and resource level to optimise flow through airport process including immigration.

从乘客的角度来看，机场系统要被认为是可靠的，有许多子系统需要令人满意地运行。例如，作为抵达机场过程的一部分，通过护照检查可能是造成延误的一个方面。入境事务处须在一天中的某些时间处理大量涌入的旅客，原因是抵港旅客需求旺盛。这些流入也可能受到计划外活动的影响，即由于延误而迟到的飞机。为改善抵港客运大楼的旅客吞吐量及提升旅客的满意度，在旅客旅程的最后一段，资源分配是其中一个可能改变的范畴。问题是如何有效地调度资源，以保持服务标准和说明计划外的活动。需要调查当前需求和预测需求的模型，以及故障情景（即可能导致需求水平变化的事件）。本项目的总体目标是确定优化的轮班时间表和资源水平，以优化机场流程（包括移民）。