上海交通大学学报 ›› 2020, Vol. 54 ›› Issue (11): 1124-1133.doi: 10.16183/j.cnki.jsjtu.2019.165

• 学报(中文) • 上一篇    下一篇

动态生产计划下多工序柔性制造系统预防维护决策

祝米鑫,葛亚雄,周晓军   

  1. 上海交通大学 机械与动力工程学院, 上海 200240
  • 收稿日期:2019-06-17 出版日期:2020-12-04 发布日期:2020-12-04
  • 通讯作者: 周晓军,男,副教授,博士生导师,E-mail:zzhou745@sjtu.edu.cn.
  • 作者简介:祝米鑫(1996-),男,江西省宜春市人,硕士生,研究方向为变负载设备维护决策.
  • 基金资助:
    国家自然科学基金(51575356)资助项目

Preventive Maintenance Strategy for Multi-Stage Flexible Manufacturing System with Dynamic Production Planning

ZHU Mixin,GE Yaxiong,ZHOU Xiaojun   

  1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2019-06-17 Online:2020-12-04 Published:2020-12-04

摘要: 针对变动负载环境下运行的多工序柔性制造系统,通过引入运行负载对设备故障率的影响机制,构建了基于比例故障率的设备衰退模型.提出综合设备虚拟役龄以及产能需求的设备启停选择规则,动态量化设备的负载状态.在此基础上,构建考虑历史故障水平的混合因子修复非新模型,提出基于期望维护成本率的多工序系统动态维护模型,并且设计基于系统预防维护时间的贪婪约束算法,获得了优化的预防维护方案.算例分析结果表明:该维护模型能够有效地解决柔性作业下系统维护需求对作业任务的动态响应问题,相较于设备满负载模型以及期望负载模型更具成本优势.

关键词: 多工序柔性制造系统, 动态生产计划, 预防维护, 比例故障率模型, 变负载

Abstract: This paper focused on multi-stage flexible manufacturing systems working in variable loading conditions. Based on the proportional hazards model, a load-dependent degradation model is proposed for components operating in the variable loading condition. Besides, a modified machine-selecting and load-sharing model, considering the virtual age of components and capacity requirement,is proposed to quantify the load condition of components. Moreover, taking degradation of components into account, a hybrid imperfect maintenance model is developed, which is followed by the final objective to determine the best maintenance strategy to minimize the expected maintenance costs of system in the dynamic production planning phase. Furthermore, a greedy algorithm with constraint on preventive maintenance time of system is proposed to solve the problem. The illustrative example shows that this model can dynamically respond to variable system maintenance requirements under the flexible operation condition. It outperforms the full loading model and the expected loading model in cost rate.

Key words: multi-stage flexible manufacturing system, dynamic production planning, preventive maintenance, proportional hazards model, variable loading

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