摘要
分布式车间生产调度是企业实现高效生产的一个核心问题,而预防性维修作为保证车间设备安全性和可靠性的重要手段,应纳入生产决策的范围。针对设备维修导致的生产延迟问题,提出了一种辅助校正的仿真优化方法,建立了联合生产和预防性维修调度问题的数学模型和仿真模型,将基于序列交换的遗传算法与仿真校正的优化方法相结合,形成了快速仿真优化方案。实验结果表明:所提出的辅助校正的仿真优化方法能够有效提高不确定性场景下的决策可行性和鲁棒性。
Distributed job-shop production scheduling is the key to high efficient production.Preventive maintenance,an essential means to ensure the safety and reliability of equipment,should be the necessary content of the production decision-making.Aiming at the production delay caused by equipment maintenance,a simulation-corrected optimization method is proposed.The mathematical model and simulation model for the joint production and preventive maintenance scheduling are established.The sequence exchange-based genetic algorithm is combined with the simulation-corrected optimization method to form a fast simulation optimization scheme.Experimental results on typical cases show that the proposed simulation optimization method can improve the solution quality and robustness for the production process with uncertainty.
作者
叶飞
李梓晴
赖李媛君
Ye Fei;Li Ziqing;Laili Yuanjun(School of Automation Science and Electrical Engineering,Beihang University,Beijing 100191,China;School of Emergency Management Science and Engineering,University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2022年第4期688-699,共12页
Journal of System Simulation
基金
国家重点研发项目(2018YFB1701600)。
关键词
分布式车间
任务调度
预防性维修
仿真优化
进化计算
distributed job-shop
task scheduling
preventive maintenance
simulation optimization
evolutionary computation
