A well-maintained catenary system is crucial to efficient and safe railway operations. Schedule catenary maintenance tasks with consideration of reliability and cost is vital for annual maintenance planning. Since past research on catenary maintenance planning mainly adopt the preventive maintenance (PM) policy with fixed maintenance intervals, this study considers practical concerns of railway operators and applies predictive maintenance (PdM) policy in the annual catenary maintenance planning. A decision support model is proposed by using both mixed integer programming and heuristic methods to identify and assign catenary maintenance tasks with the objective of minimizing maintenance cost and labor cost. The numerical results show that the cost can be improved by 25% compared to the current PM-only practice. The proposed model assists planners to determine and schedule maintenance tasks effectively and ensures the required reliability.

维护良好的接触网系统对于高效和安全的铁路运营至关重要。在考虑可靠性和成本的情况下安排接触网维护任务对于年度维护计划至关重要。由于以往对接触网维护规划的研究主要采用固定维护间隔的预防性维护 (PM) 政策，因此本研究考虑了铁路运营商的实际问题，将预测性维护 (PdM) 政策应用于年度接触网维护计划。提出了一种决策支持模型，采用混合整数规划和启发式方法来识别和分配接触网维护任务，以最小化维护成本和人工成本为目标。数值结果表明，与目前仅采用 PM 的做法相比，成本可以提高 25%。