考虑维修场所的动车组多部件双目标成组维修研究

Research on multi-component dual-objective group maintenance for electric multiple unit considering maintenance site

为探究维修场所选择对动车组多部件维修策略制定的影响,综合考虑维修方式、维修场所类别和维修人员等因素,以减少维修成本和维修时间为目标,建立了考虑维修场所的动车组多部件双目标成组维修模型。首先,在两级非完美维修方式的基础上,引入维修场所对维修方式的约束,通过维修场所的选择进一步选择维修方式。然后,提出一种部件维修任务分配算法,实现了维修人员与部件维修任务的优化匹配,使得系统维修时间最短;同时,将该算法引入到遗传算法中,用于求解考虑维修场所和系统维修时间的成组维修模型。实例分析表明,所提出的维修策略在满足动车组部件可靠度要求的前提下,减少了系统的维修成本和维修时间。研究结果可为合理制定动车组维修策略提供理论参考。

In order to explore the influence of maintenance site selection on the formulation of multicomponent maintenance strategies for electric multiple units,considering the factors such as maintenance mode,maintenance site category and maintenance personnel,and with the goal of reducing maintenance cost and maintenance time,a multi-component dual-objective group maintenance model for electric multiple units considering maintenance site was established.Firstly,based on the bi-level imperfect maintenance mode,the constraint of maintenance site on maintenance mode was introduced,and the maintenance mode was further selected through the selection of maintenance site.Then,a component maintenance task allocation algorithm was proposed to realize the optimal match between maintenance personnels and component maintenance tasks,so as to minimize the system maintenance time;at the same time,the algorithm was introduced into genetic algorithm to solve the group maintenance model considering maintenance site and system maintenance time.The example analysis showed that the proposed maintenance strategy reduced the maintenance cost and maintenance time of system on the premise of meeting the reliability requirements of electric multiple unit components.The research results can provide a theoretical reference for the reasonable formulation of electric multiple unit maintenance strategy.