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原文传递 Multiobjective Optimization of Ballasted Track Maintenance Scheduling
题名: Multiobjective Optimization of Ballasted Track Maintenance Scheduling
正文语种: eng
作者: Bakhtiary, Arash;Mohammadzadeh, Saeed;Zakeri, Jabbar Ali;Kasraei, Ahmad
作者单位: Iran Univ Sci & Technol Sch Railway Engn Tehran 1684613114 Iran;Iran Univ Sci & Technol Sch Railway Engn Tehran 1684613114 Iran;Iran Univ Sci & Technol Sch Railway Engn Tehran 1684613114 Iran;Iran Univ Sci & Technol Sch Railway Engn Tehran 1684613114 Iran
关键词: Ballasted railway track;Multiobjective optimization;Preventive maintenance scheduling;Loss of remaining useful life (LRUL);Strength Pareto evolutionary algorithm II (SPEA-II) and multiobjective particle swarm optimization (MOPSO) algorithms
摘要: This paper proposes a multiobjective optimization approach for a preventive maintenance scheduling problem. To model this problem, an optimization model was developed by considering two objective functions: minimizing maintenance cost associated with the preventive tamping cost, machine preparation cost, and possession cost during time scheduling, as well as minimizing the total loss of remaining useful life (LRUL) over a given planning horizon. The applicability of the model was tested with the strength Pareto evolutionary algorithm II (SPEA-II) and multiobjective particle swarm optimization (MOPSO) algorithms in a case study on a section of Tehran-Mashhad line in Iran for the planning horizon of three years. Finally, a sensitivity analysis was performed on the possession cost and maximum permitted train speed. The results showed that by increasing the maintenance budget up to 47.32%, the track capacity could be increased by 25% due to increased permitted speed. Moreover, by increasing the cost associated with track possession, the preparation cost was reduced by considering the opportunistic maintenance policy through the grouping track segments.
出版年: 2022
期刊名称: Journal of Transportation Engineering
卷: 148
期: 1
页码: 04021099.1-04021099.14
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