上海交通大学学报 ›› 2023, Vol. 57 ›› Issue (3): 273-284.doi: 10.16183/j.cnki.jsjtu.2022.074

所属专题: 《上海交通大学学报》2023年“机械与动力工程”专题

• 机械与动力工程 • 上一篇    下一篇

面向多中心租赁制造网络的成组维护与团队协同调度策略

司国锦, 林泽宇, 郑宇, 夏唐斌(), 奚立峰   

  1. 上海交通大学 机械系统与振动国家重点实验室
    机械与动力工程学院, 上海 200240
  • 收稿日期:2022-03-21 接受日期:2022-04-25 出版日期:2023-03-28 发布日期:2023-03-30
  • 通讯作者: 夏唐斌,副教授,博士生导师,电话(Tel.):021-34208589;E-mail:xtbxtb@sjtu.edu.cn.
  • 作者简介:司国锦(1995-),博士生,主要研究方向为可靠性与维护决策.
  • 基金资助:
    国家自然科学基金(51875359);上海市“科技创新行动计划”自然科学基金(20ZR1428600);上海商用飞机系统工程科创中心联合研究基金(FASE-2021-M7);教育部-中国移动联合基金建设项目(MCM20180703);上海交通大学深蓝计划基金(SL2021MS008);中船-交大海洋装备前瞻创新基金(22B010432)

Joint Group Maintenance Scheduling and Team Collaboration Sharing Strategy for Multi-Center Leasehold Manufacturing Network

SI Guojin, LIN Zeyu, ZHENG Yu, XIA Tangbin(), XI Lifeng   

  1. State Key Laboratory of Mechanical System and Vibration
    School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2022-03-21 Accepted:2022-04-25 Online:2023-03-28 Published:2023-03-30

摘要:

随着广域服务型制造模式的广泛应用,承租制造企业规模连续扩大,进而带动维护外包服务的全球多区域化发展.针对出租方提供“产品+服务”中存在的多中心租赁制造服务网络的广域运维调度问题,提出系统层、网络层动态交互的多中心协同维护调度策略.在系统层综合考虑设备维护停机、累积失效损失以及系统组合选取对维护决策的影响,对同一制造租赁系统内的设备进行维护成组优化,得出总维护成本最小的成组维护方案和维护时间窗;在网络层进一步考虑服务路由优化、团队派遣选取和维护响应速度对调度决策的影响,输出最小化总调度成本所对应的各团队最优服务路线.通过算例分析,验证多中心协同维护调度策略在广域运维调度领域的可行性与有效性.

关键词: 预防性维护, 多中心租赁网络, 协同调度, 维护团队路由

Abstract:

With the wide application of the service-oriented manufacturing mode, the scale of leasing manufacturing enterprises continues to expand, which leads to the global multi-regional development of maintenance outsourcing services. To address the multi-location maintenance scheduling problem of multi-center leasehold networks in the provision of “products+services”, this paper proposes a multi-center collaboration maintenance scheduling (MCMS) strategy with the dynamic interaction between the system level and the network level. At the system level, it considers the impact of the maintenance downtime, cumulative failure, and system combination selection on maintenance decisions, then optimizes the maintenance grouping of machines in the same manufacturing system. Based on the proposed optimization model, the group maintenance set and the corresponding maintenance start time can be obtained by minimizing the total maintenance cost. At the network level, it further considers the impact of service routing optimization, team dispatch selection, and maintenance response speed on scheduling decision, and then outputs the optimal service route for each team by minimizing the total scheduling cost. It also verifies the feasibility and cost-effectiveness of the MCMS strategy in the field of multi-location maintenance scheduling problems by analyzing the case study.

Key words: group maintenance, multi-center leasehold network, collaboration sharing, maintenance team routing

中图分类号: