基于DBR的多重入制造系统调度方法研究

发布时间：2018-01-13 14:24

本文关键词：基于DBR的多重入制造系统调度方法研究　出处：《北京化工大学》2012年硕士论文　论文类型：学位论文

【摘要】：多重入制造系统是以半导体芯片、胶卷、多层印制线路板等生产行业为代表的复杂制造过程，随着科技的发展与微电子行业的崛起，其调度问题研究与应用成为控制科学与工程领域的研究热点。迄今，在生产过程调度方法研究上已取得很多理论成果，但仍难以胜任实际调度问题的求解。鼓-缓冲器-绳子(Drum-Buffer-Rope, DBR)方法科学地将投料和生产控制结合在一起，重点解决瓶颈问题，为该类系统调度方法研究提供新思路。本文主要围绕多重入制造过程调度方法及DBR方法的应用展开研究： (1)在简要介绍约束理论及基本DBR调度方法的基础上，针对可重入系统大规模复杂的特性，系统地总结DBR实施的相关关键技术，分析DBR应用过程中所面临的问题及相应的解决思路。 (2)针对瓶颈设备加工存在回流现象，以最大化瓶颈设备有效产能及保证生产线负荷均衡为思想，给出扩展DBR调度算法，依据生产线相关实时信息做出调度决策，并通过仿真证明该方法的有效性及优越性。 (3)针对紧急订单在生产过程中易受系统生产状态影响及对常规订单造成冲击的特性，给出基于紧急订单预测与扩展DBR相结合的生产调度方法。通过自适应神经模糊推理系统(Adaptive Neuro-fuzzyInference System, ANFIS)构建紧急订单相关信息预测模型，利用模糊推理系统将预测结果与相应的扩展DBR调度算法相结合，使生产线提前调整投料策略，保证紧急订单到来时保证生产线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。
[Abstract]:Multi - entry manufacturing system is a complex manufacturing process represented by semiconductor chip , film , multilayer printed circuit board , etc . With the development of science and technology and the rise of microelectronics industry , the research and application of scheduling problem has become a hot spot in the field of control science and engineering . ( 1 ) Based on the brief introduction of the constraint theory and the basic DBR scheduling method , the key technologies of DBR implementation are systematically summarized for the large - scale and complex characteristics of the reconfigurable system , and the problems and corresponding solutions in DBR application are analyzed . ( 2 ) In order to maximize the effective capacity of the bottleneck equipment and ensure the load balance of the production line , the extended DBR scheduling algorithm is given , and the scheduling decision is made according to the relevant real - time information of the production line , and the validity and the superiority of the method are proved by simulation . ( 3 ) The production scheduling method based on the combination of emergency order prediction and extended DBR is given in order to make the production process easy to be influenced by the production status of the system and the impact on the conventional order in the production process . By using the adaptive neuro - fuzzy inference system ( ANFIS ) , the forecasting result is combined with the corresponding extended DBR scheduling algorithm , so that the production line can adjust the feeding strategy in advance so as to ensure that the production line effectively completes its processing task and reduces the mutual influence between the emergency order and the conventional order .

【学位授予单位】：北京化工大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TH16

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