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首页> 外文期刊>Transportation Research Part B: Methodological >Track maintenance production team scheduling in railroad networks
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Track maintenance production team scheduling in railroad networks

机译：跟踪铁路网络中的维护生产团队调度

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摘要

US railroad companies spend billions of dollars every year on track maintenance in order to ensure safety and operational efficiency. Optimizing the production team (i.e., large maintenance team) schedule is a very complex problem with major cost implications. In current practice, the decision making process for production team scheduling is largely manual and primarily relies on the knowledge and judgment of experts. This paper addressed the production team scheduling problem by formulating it as a time-space network model with many types of challenging side constraints. Some of these constraints are identified from industry practice and formulated for the first time. Multiple neighborhood search and other enhancement algorithms were proposed to solve the model. The proposed modeling approach has been tested through numerical experiments and also applied to large-scale real-world problem instances, and superior computational performances were found. The proposed approach has been adopted by a Class I railroad to help make annual network maintenance scheduling decisions.
机译：美国铁路公司每年在轨道维护上花费数十亿美元，以确保安全和运营效率。优化生产团队（即大型维护团队）的时间表是一个非常复杂的问题，涉及大量成本。在当前实践中，生产团队调度的决策过程主要是手动的，并且主要依靠专家的知识和判断力。本文通过将生产团队调度问题表述为具有多种具有挑战性的侧约束的时空网络模型来解决该问题。这些限制中的一些是从行业实践中识别出来的，并且是第一次制定。提出了多邻域搜索和其他增强算法来求解该模型。通过数值实验对提出的建模方法进行了测试，并将其应用于大规模的现实世界中的问题实例，并发现了出色的计算性能。提议的方法已被I级铁路采用，以帮助制定年度网络维护计划决策。

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