带有交货期时间窗的生产与维护联合调度优化  

Integrating Production Scheduling and Preventive Maintenance for a Single Machine with Due Window

作　　者：丁珮雯 蒋祖华[1] 胡家文[1] 韩李杰 

机构地区：[1]上海交通大学机械与动力工程学院,上海200240

出　　处：《上海交通大学学报》2015年第4期524-530,共7页Journal of Shanghai Jiaotong University

基　　金：国家自然科学基金资助项目(71361019)

摘　　要：为探讨拉式生产环境下设备故障对准时交货的影响,建立了单设备预防性维护和生产调度联合优化模型.提出一种提前/拖期惩罚成本隶属度函数,同时选用简单维修和更换2种不同的维护方式,以具有交货期时间窗的提前/拖期惩罚成本与维护成本之和为优化目标,决策工件加工顺序和维护周期.提出一种新的算法LSA(Longest&Shortest Processing Time Based Algorithm),与遗传算法(GA)结合,采用GA-LSA对模型优化求解,与枚举算法和改进GA比较,证明其有效性.通过不同问题规模下联合优化分别与独立优化和单一维护方式联合优化方法进行对比,结果表明,相对其他2种方法,所提出的方法更加有效.In order to explore the effects of machine failures on JIT delivery in pull environment, a combination model was proposed to jointly determine PM planning and production scheduling of a single machine. A new earliness/tardiness penalty membership function was proposed, and two kinds of PM simple repair and replacement were considered. The earliness/tardiness penalty cost with due window and maintenance cost were included in the objective function. A new algorithm named GA-LSA based on GA was proposed to optimize the model. The proprosed model was compared with the enumeration algorithm and genetic algorithm to show its effectiveness. Computational experiments show the performance of this inte- grated model is satisfactory, compared with the conventional independent decision model and integrted model with single PM mode.

关 键 词：预防性维护计划 生产调度 交货期时间窗 启发式遗传算法 

分 类 号：F224[经济管理—国民经济]