基于变动性解析的混流装配系统生产周期演化规律与缩减控制

Owning to the close relationship between time-related variability and the evolution of cycle time in the dynamic process of mixed-model assembly system, it is crucial to study this relationship on the reduction control of cycle time. Aiming to the reduction of cycle time, from the perspectives of the mechanism, transmission and aggregation, information mining of variability, this project subjects to study the influences of variability behavior on cycle time, which guided by the scientific issues and key technologies of distribution and evolution, forecasting and reduction of cycle time. First, the relational model will be presented between variability behaviors of key process and cycle time. Secondly, the information network of variability containing the coupling of multi-processes will be established, in which the distribution and lag mechanism of cycle time would be revealed. Then the implicit relationship between cycle time and external variability factors will be mined. Finally, the forecasting methods of cycle time distribution and optimum control strategies of reduction will be put forward and be verified in the applications. The research can provide a theoretical basis and implementing technology for revealing the evolution and further reduction control of cycle time in the mixed-model assembly system.

与时间相关的动态过程的变动性与混流装配系统生产周期的演化存在密切关系，研究这种关系对实现混流装配系统生产周期的缩减控制具有重要作用。针对混流装配系统生产周期缩减控制问题，本项目从变动性产生机理，变动性传递和汇聚，变动性信息挖掘的角度，以生产周期的分布和演化规律、预测与缩减控制方法中的科学问题和关键技术为导引，研究变动性行为对生产周期的影响。提出关键工序变动性行为对生产周期的关联模型；建立变动性传递和汇聚的信息网络模型以揭示生产周期分布与滞后机理；挖掘制造系统的外部变动性影响因素、变动性信息网络与系统生产周期之间的隐性关联关系；提出生产周期分布的预测方法与变动性下的缩减控制优化策略，并进行应用验证。研究成果为揭示混流装配系统生产周期演化规律和进行缩减控制提供一种理论依据和实施技术。