交通运输系统工程与信息 ›› 2024, Vol. 24 ›› Issue (2): 188-198.DOI: 10.16097/j.cnki.1009-6744.2024.02.019

• 系统工程理论与方法 • 上一篇    下一篇

基于资源约束的地铁运营施工任务调度研究

罗钦1,2,黄杉1,2,宋剑伟3,曾翠峰3,陈菁菁1,2,李伟*1,2   

  1. 1. 深圳技术大学,城市交通与物流学院,广东深圳518118;2.广东省高校轨道交通智慧运维工程 技术开发中心,广东深圳518118;3.深圳地铁运营集团有限公司,广东深圳518040
  • 收稿日期:2023-12-14 修回日期:2024-01-20 接受日期:2024-02-18 出版日期:2024-04-25 发布日期:2024-04-25
  • 作者简介:罗钦(1982- ),男,湖南浏阳人,教授,博士。
  • 基金资助:
    国家自然科学基金青年科学基金 (52208441);广东省普通高校创新团队(2022KCXTD027);广东省重点建设学科科研能力提升项目 (2021ZDJS108)。

Metro Maintenance Tasks Scheduling Considering Resource Constraints

LUOQin1,2,HUANG Shan1,2,SONG Jianwei3,ZENG Cuifeng3,CHEN Jingjing1,2,LI Wei*1,2   

  1. 1. School of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, Guangdong, China; 2. Guangdong Rail Transit Intelligent Operation and Maintenance Engineering Technology Development Center, Shenzhen 518118, Guangdong, China; 3. Shenzhen Metro Operation Group Co LTD, Shenzhen 518040, Guangdong, China
  • Received:2023-12-14 Revised:2024-01-20 Accepted:2024-02-18 Online:2024-04-25 Published:2024-04-25
  • Supported by:
    Young Scientists Fund of the National Natural Science Foundation of China (52208441);InnovationTeam of Universities in Guangdong Province (2022KCXTD027);ScientificResearchCapacityEnhancement Program for Key Building Disciplines in Guangdong Province (2021ZDJS108)。

摘要: 针对地铁运营施工资源有限、时间严格、任务繁重等特点,本文以地铁运营施工任务调度为研究对象,建立运营施工调度优化模型与算法。模型以任务优先级、施工人员和施工工区限制等为约束条件,以完工时间最小化、施工人员工作负荷均衡化为目标;设计一种联合线性规划与资源交叉(CPLEX-ROC)的混合求解算法;通过对某实际地铁运营线路展开案例研究,验证模型和算法的可行性与先进性。案例研究结果表明:相较于人工调度、遗传算法(GA)、教学优化算法(TLBO)方法,最大完工时间分别降低32.90%、15.11%和10.75%;施工人员工作负荷均衡指标相较GA、TLBO分别优化了15.44%和10.62%。计算结果验证了本模型能够提升地铁运营施工任务整体作业效率,同时实现施工人员工作负荷均衡。

关键词: 铁路运输, 运营施工调度, 整数规划, 项目调度, 多目标优化

Abstract: Metro maintenance construction is normally undertaken with heavy workload, limited resources, and strict timelines. This paper focuses on the metro maintenance task plan to establish an optimization model and algorithm for maintenance scheduling. The model takes task priority, person, and workspace capacity constraints as constraints, and aims to minimize the makespan and balances person workload. A hybrid algorithm is designed in combination of the linear programming and resource crossover (CPLEX-ROC). A case study verifies the feasibility and effectiveness of the model and algorithm. The results show that compared to manual scheduling, genetic algorithm (GA), and Teaching learning- based optimization (TLBO) methods, the proposed method reduces the makespan reduced by 32.90% , 15.11% , and 10.75% respectively. The person workload balance is improved by 15.44% compared to GA, and improved by 10.62% compared to the TLBO. The proposed method improves the overall operation efficiency of metro maintenance tasks and balances the personal work load in the constructions.

Key words: railway transportation, maintenance tasks scheduling, integer programming, project scheduling, multi objective optimization

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