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容量有限多车场下人员车辆调度研究

李恭强 徐国宁 毛宁 陈庆新 余龙水

机电工程技术2025,Vol.54Issue(17):21-25,126,6.
机电工程技术2025,Vol.54Issue(17):21-25,126,6.DOI:10.3969/j.issn.1009-9492.2025.17.004

容量有限多车场下人员车辆调度研究

Research on Scheduling Personnel and Vehicles in Limited Capacity Parking

李恭强 1徐国宁 2毛宁 1陈庆新 1余龙水2

作者信息

  • 1. 广东工业大学机电工程学院,广州 510006
  • 2. 广东机场白云信息科技股份有限公司,广州 510470
  • 折叠

摘要

Abstract

To optimize passenger and staff boarding services at remote aircraft parking positions,the limited availability of resources(drivers,passenger stairs,and parking areas)necessitates improved scheduling for better resource utilization.By recognizing that passenger stairs do not require driver supervision when parked next to an aircraft,the scheduling of drivers and passenger stairs is separated.The problem is framed as a many-to-many pickup and delivery issue,accounting for multiple parking facilities and visit constraints.A personnel and vehicle scheduling model is developed based on business processes and solved using the Gurobi mathematical programming solver,validated against actual data from a hub airport in South China.Results show significant improvements in personnel transfer times:a reduction of 39%during off-peak periods,26%during average periods,and 32%during peak times.This strategy effectively addresses routing challenges posed by limited passenger stairs and parking capacities,meeting time-sensitive requirements and guiding dispatchers'decision-making.

关键词

双重资源调度/多车场/多次访问/容量有限

Key words

dual resource scheduling/multiple parking areas/multiple access/limited capacity

分类

航空航天

引用本文复制引用

李恭强,徐国宁,毛宁,陈庆新,余龙水..容量有限多车场下人员车辆调度研究[J].机电工程技术,2025,54(17):21-25,126,6.

基金项目

广东工业大学与白云信息科技股份有限公司联合共建民航智能优化算法实验室(24HK0259) (24HK0259)

机电工程技术

1009-9492

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