优化城市地铁系统的维护资源调度和站点选择:增强系统弹性的多目标方法

IF 2.3 4区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Systems Pub Date : 2024-07-21 DOI:10.3390/systems12070262
Lingyi Tang, Shiqi Chen, Qiming Li
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引用次数: 0

摘要

本研究为城市地铁系统故障后维护资源供应点的战略位置和多种资源的调度开发了一个优化模型,目的是提高系统的恢复能力。该模型采用了多目标优化框架,主要侧重于最大限度地减少资源调度时间和降低成本。它包含了空间位置、网络拓扑结构、车站规模和客流量等关键因素。该模型采用了非支配排序遗传算法 III 和理想解相似度排序技术相结合的混合方法进行求解,并通过南京地铁系统的案例研究证实了该方法的有效性。模拟结果得出了 21 个维修资源供应站的最佳数量,并提供了它们的位置。在大规模故障情况下,最优资源调度策略确保关键站点的需求满足率超过 90%,总体满足率保持在 87.09%,从而显著提高了资源调度效率和系统的应急响应能力,增强了城市地铁系统的物理弹性和恢复能力。此外,该模型还考虑了经济因素,通过有效的维护策略和资源利用,努力实现应急响应能力与生产连续性和成本效益之间的平衡。这种方法为城市地铁系统管理突发故障提供了一个系统框架,可确保在资源有限的情况下迅速恢复正常运营,并最大限度地减少运营中断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing Maintenance Resource Scheduling and Site Selection for Urban Metro Systems: A Multi-Objective Approach to Enhance System Resilience
This study developed an optimization model for the strategic location of maintenance resource supply sites and the scheduling of multiple resources following failures in urban metro systems, with the objective of enhancing system resilience. The model employs a multi-objective optimization framework, focusing primarily on minimizing resource scheduling time and reducing costs. It incorporates critical factors such as spatial location, network topology, station size, and passenger flow. A hybrid method, combining the non-dominated sorting genetic algorithm III and the technique for order of preference by similarity to ideal solution, is used to solve the model, with its effectiveness confirmed through a case study of the Nanjing Metro system. The simulation results yielded an optimal number of 21 maintenance resource supply stations and provided their placement. In the event of large-scale failures, the optimal resource scheduling strategy ensures demand satisfaction rates exceed 90% at critical stations, maintaining an overall rate of 87.09%, therefore significantly improving resource scheduling efficiency and the system’s emergency response capabilities and enhancing the physical resilience and recovery capabilities of the urban metro system. Moreover, the model accounts for economic factors, striving to balance emergency response capabilities with production continuity and cost efficiency through effective maintenance strategies and resource utilization. This approach provides a systematic framework for urban metro systems to manage sudden failures, ensuring rapid recovery to normal operations and minimizing operational disruptions in scenarios of limited resources.
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来源期刊
Systems
Systems Decision Sciences-Information Systems and Management
CiteScore
2.80
自引率
15.80%
发文量
204
审稿时长
11 weeks
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