Condition-based monitoring is used as part of predictive maintenance to collect real-time information on the healthy status of a vessel engine, which allows for a more accurate estimation of the remaining life of an engine or its parts, as well as providing a warning for a potential failure of an engine part. An engine failure results in delays and down-times in the voyage of a vessel, which translates into additional cost and penalties. This paper studies a spare part management problem for maintenance scheduling of a vessel operating on a given route that is defined by a sequence of port visits. When a warning on part failure is received, the problem decides when and to which port each part should be ordered, where the latter is also the location at which the maintenance operation would be performed. The paper describes a mathematical programming model of the problem, as well as a shortest path dynamic programming formulation for a single part which solves the problem in polynomial time complexity. Simulation results are presented in which the models are tested under different scenarios.

中文翻译：

---

船舶维修调度的最佳备件管理

基于状态的监控用作预测性维护的一部分，以收集有关船舶发动机健康状态的实时信息，从而可以更准确地估计发动机或其部件的剩余寿命，并提供警告用于发动机部件的潜在故障。发动机故障会导致船舶航行延迟和停机，这会转化为额外的成本和罚款。本文研究了一个备件管理问题，用于在由一系列港口访问定义的给定航线上运行的船舶的维护调度。当收到有关部件故障的警告时，问题将决定每个部件应在何时以及向哪个端口订购，后者也是执行维护操作的位置。论文描述了该问题的数学规划模型，以及解决多项式时间复杂度问题的单部分最短路径动态规划公式。给出了仿真结果，其中模型在不同场景下进行了测试。