摘要
基于有限产能批量问题模型,以多产品多阶段的单机系统为研究对象,以最小化的生产总成本(加工成本、库存成本、开机成本、缺货成本、换型成本以及维护成本)及最大化订单完成率为优化目标,对设备预防性维护和生产调度联合优化问题进行研究。建立了生产调度与设备预防性维护的联合优化模型,该模型可用于确定最优的预防性维护方案、生产批量大小以及加工顺序。利用改进后的差分进化算法对模型进行求解,仿真实验结果表明在相同的设备负荷条件下,该模型在故障维护次数、维护成本和生产总成本方面都要明显优于定周期维护模型。
Aiming at multi-product and multi-stage single machine system,an integration optimization model of production scheduling and preventive maintenance of equipment based on Capacitated Lot-Sizing Problem(CLSP) was proposed. Optimal preventive maintenance plan,production batch size and processing sequence was given with the optimization object of minimizing total production cost including processing cost,inventory cost,start-up cost,inventory cost,replacement cost and maintenance cost and maximizing order completion rate.The improved differential evolution algorithm was used to simulate the model.The results show that the integrated model is superior to the fixed-cycle maintenance model in the number of failures,maintenance cost and total production cost under the same equipment load.The validity of the model and algorithm is verified.
作者
李志颖
倪婧
秦萍
闫玲
杨宏兵
Li Zhiying;Ni Jing;Qin Ping;Yan Ling;Yang Hongbing(School of Mechanical and Electric Engineering,Soochow University,Suzhou 215137,Jiangsu,China)
出处
《现代制造工程》
CSCD
北大核心
2019年第7期30-35,共6页
Modern Manufacturing Engineering
基金
国家自然科学基金项目(61773115)
苏州市产业技术创新专项(民生科技)项目(SS201704)
2017年度大学生创新创业训练计划项目(2017xj004)
关键词
有限产能批量问题
生产调度
预防性维护
多目标优化
Capacitated Lot-Sizing Problem(CLSP)
production scheduling
preventive maintenance
multi-objective optimization
