Kian Ramez, Bektaş Tolga, Ouelhadj Djamila
1Department of Industrial Engineering, University of Tabriz, Tabriz, Iran.
2Centre for Operational Research Management Science and Information Systems (CORMSIS), Southampton Business School, University of Southampton, Highfield, Southampton, SO17 1BJ UK.
Ann Oper Res. 2019;272(1):323-353. doi: 10.1007/s10479-018-2907-y. Epub 2018 Jun 1.
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.
基于状态的监测作为预测性维护的一部分，用于收集船舶发动机健康状态的实时信息，这有助于更准确地估计发动机或其部件的剩余寿命，并为发动机部件的潜在故障提供预警。发动机故障会导致船舶航行延误和停航时间，进而转化为额外的成本和罚款。本文研究了在给定航线上运营的船舶维护调度的备件管理问题，该航线由一系列港口访问定义。当收到部件故障预警时，该问题决定每个部件应何时订购以及运往哪个港口，后者也是进行维护操作的地点。本文描述了该问题的数学规划模型，以及针对单个部件的最短路径动态规划公式，该公式能在多项式时间复杂度内解决该问题。给出了模拟结果，其中在不同场景下对模型进行了测试。
