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Review on Multi-objective Dynamic Scheduling Methods for Flexible Job Shops and Application in Aviation Manufacturing
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作者 MA Yajie JIANG Bin +3 位作者 GUAN Li CHEN Lijun HUANG Binda CHEN Zhi 《Transactions of Nanjing University of Aeronautics and Astronautics》 2025年第1期1-24,共24页
Intelligent production is an important development direction in intelligent manufacturing,with intelligent factories playing a crucial role in promoting intelligent production.Flexible job shops,as the main form of in... Intelligent production is an important development direction in intelligent manufacturing,with intelligent factories playing a crucial role in promoting intelligent production.Flexible job shops,as the main form of intelligent factories,constantly face dynamic disturbances during the production process,including machine failures and urgent orders.This paper discusses the basic models and research methods of job shop scheduling,emphasizing the important role of dynamic job shop scheduling and its response schemes in future research.A multi-objective flexible job shop dynamic scheduling mathematical model is established,highlighting its complex and multi-constraint characteristics under different interferences.A classification discussion is conducted on the dynamic response methods and optimization objectives under machine failures,emergency orders,fuzzy completion times,and mixed dynamic events.The development process of traditional scheduling rules and intelligent methods in dynamic scheduling are also analyzed.Finally,based on the current development status of job shop scheduling and the requirements of intelligent manufacturing,the future development trends of dynamic scheduling in flexible job shops are proposed. 展开更多
关键词 flexible job shop dynamic scheduling machine breakdown job insertion multi-objective optimization
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半导体生产线基于DBR和ANFIS相融合的动态调度方法研究 被引量:2
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作者 曹政才 彭亚珍 +1 位作者 李博 刘民 《电子学报》 EI CAS CSCD 北大核心 2015年第10期2082-2087,共6页
实际半导体制造过程调度问题具有大规模、小确定、带复杂约束及多目标等综合复杂性,要确保上述生产过程优化运行,必须及时有效进行动态调度.鉴于半导体生产线具有多重入特征及紧急订单对常规订单产生影响,本文给出一种基于"鼓-缓冲... 实际半导体制造过程调度问题具有大规模、小确定、带复杂约束及多目标等综合复杂性,要确保上述生产过程优化运行,必须及时有效进行动态调度.鉴于半导体生产线具有多重入特征及紧急订单对常规订单产生影响,本文给出一种基于"鼓-缓冲-绳子"(Drum-Buffer-Rope,DBR)和白适应模糊推理系统(Adaptive Neuro-Fuzzy Inference System,ANFIS)相融合的半导体生产线动态调度方法.首先以最大化瓶颈设备有效产能及保证生产线负荷均衡为目标,将投料控制与工件调度有机结合进行DBR优化算法设计;其次根据生产线运行过程中积累大量的历史数据与实时数据,利用ANFIS构建紧急订单相关信息预测模型;再次结合专家经验知识,利用模糊推理系统将预测结果与相应的DBR算法相融合,使生产线提前调整投料策略,保证紧急订单到来时生产线能够有效完成其加工任务及减小紧急订单与常规订单之间的相互影响;最后通过某半导体生产线进行仿真验证,该方法能够实现生产线的多目标优化,为解决实际半导体生产调度问题提供参考. 展开更多
关键词 半导体生产线 动态调度 紧急订单预测 鼓-缓冲-绳子
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