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首页> 外文期刊>International Journal of Computer Integrated Manufacturing >Continuous flow modelling of multistage assembly line system dynamics
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Continuous flow modelling of multistage assembly line system dynamics

机译：多级流水线系统动力学的连续流建模

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The wide spread availability of real-time plant floor systems (PFS) information has made the modern automotive assembly line a data-rich environment. Information from these data sources offers an unprecedented opportunity to model and simulate the performance of an assembly line as a dynamic system, as opposed to a conventional static manner. The dynamic models in turn can enable fast and accurate prediction of aggregate performance in multistage assembly line operations. This paper presents a data-driven continuous fluid flow approach, founded on nonlinear system dynamics (SD) principles, to model assembly line dynamics. The movement of entities is treated as a fluid flow, buffer stocks are water tanks, the conveyor belt is water pipe and manufacturing stations are the valves which control the rates of flow. A set of ordinary differential equations (ODE) is derived to model the system of buffer stocks and production flows between the interacting machines. The proposed continuous flow models are implemented in Matlab's Simulink environment with real-world data from a production line segment of 18 machines. The results show that the instantaneous (i.e. approximately 1 week of actual operation time) throughput rate values from the continuous flow model were within 5% of the historical data averages while the results from an equivalent discrete event simulation (DES) model were inferior. In addition, the steady-state results of a 20-h simulation run (i.e. approximately 1 year of actual operation time) match well between the DES Model and the continuous flow model. This investigation is strongly indicative of the potential use of continuous flow models to capture the aggregated assembly line dynamics and yield deeper insights into the interrelations between the different parts of a complex manufacturing system.
机译：实时工厂车间系统（PFS）信息的广泛普及使现代汽车装配线成为了一个数据丰富的环境。与传统的静态方式相反，来自这些数据源的信息提供了前所未有的机会来对作为动态系统的装配线的性能进行建模和仿真。动态模型又可以在多级装配线操作中快速准确地预测聚合性能。本文提出了一种基于数据驱动的连续流体流动方法，该方法基于非线性系统动力学（SD）原理，为流水线动力学建模。实体的运动被视为流体流动，缓冲物料是水箱，输送带是水管，制造站是控制流速的阀门。导出了一组常微分方程（ODE），以对相互作用机器之间的缓冲库存和生产流系统进行建模。建议的连续流模型在Matlab的Simulink环境中使用来自18台机器的生产线段的真实数据进行实现。结果表明，连续流模型的瞬时（即大约实际操作时间约1周）吞吐率值在历史数据平均值的5％以内，而等效离散事件模拟（DES）模型的结果则差。另外，在DES模型和连续流模型之间进行20小时模拟运行的稳态结果（即，实际运行时间约为1年）非常吻合。这项研究有力地表明了可能使用连续流模型来捕获聚集的装配线动力学，并对复杂的制造系统的不同部分之间的相互关系有更深入的了解。

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