兰州交通大学 机构 机电工程学院,兰州,730070
[ "刘晓祖, 硕士研究生," ]
[ "王红, 教授, 博士生导师," ]
纸质出版:2025
移动端阅览
刘晓祖, 王红, 何勇, 等. 考虑人力资源动态配置的动车组系统机会维修模型[J]. 机械科学与技术, 2025,44(4):693-701.
刘晓祖, 王红, 何勇, et al. Opportunistic Maintenance Model of Electric Multiple Unit System Considering Dynamic Allocation of Human Resources[J]. Mechanical Science and Technology for Aerospace Engineering, 2025, 44(4): 693-701.
刘晓祖, 王红, 何勇, 等. 考虑人力资源动态配置的动车组系统机会维修模型[J]. 机械科学与技术, 2025,44(4):693-701. DOI: 10.13433/j.cnki.1003-8728.20230137.
刘晓祖, 王红, 何勇, et al. Opportunistic Maintenance Model of Electric Multiple Unit System Considering Dynamic Allocation of Human Resources[J]. Mechanical Science and Technology for Aerospace Engineering, 2025, 44(4): 693-701. DOI: 10.13433/j.cnki.1003-8728.20230137.
针对动车组多部件系统如何在有限停机时间内实现维修任务的合理分配问题,建立了考虑人力资源动态配置与机会维修的动车组多部件系统联合决策模型。首先,基于部件经济相关性引入了机会维修理念,归并各部件维修时机;其次,考虑到机会维修时维修任务数量的差异性,构建了基于人力雇佣成本及停机时间成本的维修人员数量决策方法;最后,以机会维修阈值和维修人员数量为决策变量,以维修总成本为优化目标进行了联合决策。算例分析表明,构建的联合决策模型相比较于固定维修人员维修模型和传统顺序维修模型可实现维修人员动态配置,有效降低维修人员雇佣数量及系统停机次数,节省维修总成本。该模型可进一步提升传统机会维修的维修经济性,为动车组系统的维修决策提供一定理论支持。
Aiming at the problem of achieving the reasonable allocation of maintenance tasks for electric multiple unit (EMU) multi-component systems with the limited downtime
a joint decision-making model of multi-component systems considering the dynamic allocation of human resources and opportunistic maintenance was established. Firstly
the opportunistic maintenance was introduced to merge the maintenance timing of each component based on the economic dependence. Secondly
considering the difference of the number of maintenance tasks during opportunistic maintenance
a decision-making method for the number of maintenance personnel was constructed based on personnel employment cost and downtime cost. Finally
the joint decision was made with the opportunity maintenance threshold and the number of maintenance personnel as decision variables and the total maintenance cost as optimization goal. The numerical example analysis shows that
compared with the fixed maintenance personnel maintenance model and the traditional sequential maintenance model
the joint decision-making model constructed in this paper can realize the dynamic configuration of maintenance personnel
and effectively reduce the number of maintenance personnel employment and the number of system downtime
and save total maintenance cost. This model further improves the maintenance economy of traditional opportunistic maintenance
and can provide certain theoretical support for the maintenance decision of EMU systems.
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