工业工程 ›› 2024, Vol. 27 ›› Issue (4): 112-120.doi: 10.3969/j.issn.1007-7375.220256

• 系统建模与优化 • 上一篇    

机场地面服务资源滚动时域调度方法

陈庆新1, 陈光劲1, 徐国宁1, 余龙水2   

  1. 1. 广东工业大学 广东省计算机集成制造重点实验室,广东 广州 510006;
    2. 广东机场白云信息科技有限公司,广东 广州 510470
  • 收稿日期:2022-12-26 发布日期:2024-09-07
  • 通讯作者: 徐国宁 (1992—),男,广东省人,博士研究生,主要研究方向为运筹优化、资源调度。Email:13610344165@163.com E-mail:13610344165@163.com
  • 作者简介:陈庆新 (1963—),男,江苏省人,教授,博士,主要研究方向为制造系统规划设计与运行控制等。Email:qxchen@gdut.edu.cn
  • 基金资助:
    联合共建民航运筹优化算法实验室资助项目 (607190570)

A Rolling Horizon Scheduling Method for Airport Ground Service Resources

CHEN Qingxin1, CHEN Guangjin1, XU Guoning1, YU Longshui2   

  1. 1. Key Laboratory of Computer Integrated Manufacturing of Guangdong Province, Guangdong University of Technology, Guangzhou 510006, China;
    2. Guangdong Airport Baiyun Information Technology Co., Ltd., Guangzhou 510470, China
  • Received:2022-12-26 Published:2024-09-07

摘要: 为了应对航班随机到达对机场地面服务资源调度的影响,针对问题的特点设计了一种滚动时域调度方法 (rolling horizon scheduling method,RHSM)。先按时间轴将原问题分解为一系列子问题,再以最小化航班延误总成本和同类资源负荷均衡为目标,构建项目-资源分级调度的数学模型,对每轮滚动时域内的子问题进行调度,最后由各个子问题的解构成原问题的近似解。这样就把复杂问题分解为若干小问题逐个求解,保证了资源调度的实时性。以广州白云国际机场某天3个不同规模的数据: 01:00-02:00、15:00-16:00及13:00-21:00,验证该方法的性能。实验结果表明,RHSM能够应对航班到达时间的随机性,并且相较于时间窗解耦调度方法,在01:00-02:00小规模数据中,当求解总时长相同时,选择合适参数的RHSM可降低36.79%航班延误总成本;在15:00-16:00和13:00-21:00的中、大规模数据中,RHSM具有较快的求解速度和较小的计算机内存空间。因此所提方法是具有可行性的,有助于机场地面服务提质增效。

关键词: 航空运输, 地面服务资源调度, 滚动时域, 共享资源, 多项目调度, 动态调度

Abstract: In order to deal with the influence of the random flight arrivals on the scheduling of airport ground service resources, a rolling horizon scheduling method (RHSM) is designed according to the characteristics of the problem. Firstly, the original problem is decomposed into a series of subproblems according to the time axis. Then, with the objective of minimizing the total cost of flight delays and balancing the load of similar resources, a mathematical model of project-resource hierarchical scheduling is established to schedule the subproblems in the rolling horizon of each iteration. Finally, the solution of each subproblem is constructed into the approximate solution of the original problem. In this way, the complex problem is decomposed into several subproblems, which can be solved one by one, ensuring real-time resource scheduling. The performance of this method is verified by the data from three different scales on a certain day at Guangzhou Baiyun International Airport: 01:00-02:00, 15:00-16:00 and 13:00-21:00. Experimental results show that RHSM can deal with the randomness of flight arrival time; compared with the time window decoupled scheduling method, in small-scale data from 01:00-02:00, when the total solution time is the same, RHSM with appropriate parameters can reduce the total cost of flight delays by 36.79%; in medium and large-scale data from 15:00-16:00 and 13:00-21:00, RHSM has faster solution speed with smaller computer memory space. It can be concluded that the proposed method is feasible, and it is helpful to improve the quality and efficiency of airport ground services.

Key words: air transportation, ground service resource scheduling, rolling horizon, shared resources, multi-project scheduling, dynamic scheduling

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