交通运输系统工程与信息 ›› 2016, Vol. 16 ›› Issue (5): 21-26.

• 决策论坛 • 上一篇    下一篇

地铁车辆设备运用与维护的博弈协作研究

王红*1,刘志龙1,杜维鑫1,蒋祖华2   

  1. 1. 兰州交通大学机电工程学院,兰州730070;2. 上海交通大学机械与动力工程学院,上海200240
  • 收稿日期:2016-01-20 修回日期:2016-06-15 出版日期:2016-10-25 发布日期:2016-10-25
  • 作者简介:王红(1968-),男,青海乐都人,教授.
  • 基金资助:

    国家自然科学基金资助项目/Project Supported by the National Natural Science Foundation of China(71361019).

Game Coordination Study of Jointing Operation and Maintenance for Metro Vehicle Equipment

WANG Hong1, LIU Zhi-long1, DUWei-xin1, JIANG Zu-hua2   

  1. 1. School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;2. School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China
  • Received:2016-01-20 Revised:2016-06-15 Online:2016-10-25 Published:2016-10-25

摘要:

在地铁车辆的维护决策过程中,公司各部门之间会存在隐形的利益竞争,为探 讨这种隐形竞争对车辆设备预防性维护计划的影响.结合地铁车辆设备的动态衰退规律, 采用非完美维护策略,建立了设备阶段性衰退的故障率函数模型.基于动态博弈理论,以 运营部门与维护部门为博弈参与者,分别建立了运营优先和维护优先的Stackelberg 博弈 模型,并通过逆向归纳法求得博弈模型的纳什均衡解.结果表明:博弈方法在车辆设备维 护决策中是可行且有效的,而且具有优先权的一方在维护决策中更有优势.与传统的优化 方法比较,博弈方法的动态性和灵活性强,适应性更好,可为决策管理层提供重要的决策 支持.

关键词: 城市交通, 预防性维护, 博弈理论, 地铁车辆, 多阶段

Abstract:

The invisible competing interests usually contacts between different departments when decides maintenance plan of metro vehicle. In order to explore the effects of the invisible competition on the preventive maintenance plan, a periodic decline failure rate function model is established through imperfect maintenance strategy. Acting operation department and maintenance department as the players, different Stackelberg game models are established based on dynamic game theory, also backward induction is used to find the Nash equilibrium solution. Experimental results show that the game method is feasible and effective to obtain a reasonable maintenance plan and the preferential player has an advantage. Compared with the optimization method, the game method has the better dynamics flexibility and adaptability, also can solve the interest conflict between the players and provides important decision support for decision makers.

Key words: urban traffic, preventive maintenance, game theory, metro vehicle, multi-period

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