摘要
考虑某航空标准件企业独立制定生产调度和设备维护计划带来的现场冲突问题,以最小化系统最大完工时间和最小化系统维护总成本为目标,构建生产调度与设备维护联合优化模型。模型基于设备负荷确定车间内不同设备组的故障率阈值,进而制定不同的预防性维护策略。通过设计遗传算法发对模型进行求解,对模型所涉及的参数给出估计方法,并通过企业实际运用验证了模型和算法的有效性。
Considering the problem of on-site conflict caused by an aviation standard parts enterprise independently formulating production scheduling and equipment maintenance plan,the joint optimization model of production scheduling and equipment maintenance is constructed with the goal of minimizing the maximum completion time of the system and the total cost of system maintenance.The model determines the failure rate thresholds of different equipment groups in the workshop based on the equipment load,and then formulates different preventive maintenance strategies.The model is solved by designing the genetic algorithm,and the estimation methods of the parameters involved in the model are given.The effectiveness of the model and algorithm is verified by the actual application of the enterprise.
作者
李健
贾云杰
陈栋
刘勇
LI Jian;JIA Yun-jie;CHEN Dong;LIU Yong(China Aviation Industry Standard Part Manufacturing Co.,Ltd.,Guiyang 550014,China;School of Mechanical Engineering,Chongqing University,Chongqing 400030,China)
出处
《价值工程》
2019年第20期268-273,共6页
Value Engineering
关键词
航空标准件
生产调度
预防性维护
参数估计
aviation standard parts
production scheduling
preventive maintenance
parameter estimation
