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首页> 外文期刊>International Journal of Computer Integrated Manufacturing >Determination of efficient simulation model fidelity for flexible manufacturing systems
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Determination of efficient simulation model fidelity for flexible manufacturing systems

机译：确定柔性制造系统的有效仿真模型保真度

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摘要

This paper presents a framework for the determination of an efficient level of simulation model fidelity for flexible manufacturing systems, which will achieve acceptable output accuracy with minimum resources and thereby reduce model building effort and computation time. To this end, we first formally define different levels of model fidelity using building blocks available in object-oriented (O-O) modelling, where an operation at a higher level is either decomposed into more detailed operations or subjected to more constraints at a lower level. In this paper, five models with different fidelities are defined. Then, simulation models that conform to these O-O models are constructed. Using these simulation models, intensive experiments are conducted to examine how the factors that characterize an FMS contribute to the relative errors of outputs from different models. Since no actual systems are considered, the results generated from the most detailed simulation model are used as references. The experimental results are then summarized by regression-based meta-models. In the proposed framework, the most efficient model for a new FMS is identified so that the relative error of a model estimated from the meta-model is closest to the threshold value provided by users. This framework is tested by two sample FMSs, and the initial results look quite promising.
机译：本文提供了一个框架，用于确定柔性制造系统的仿真模型逼真度的有效水平，该框架将以最少的资源获得可接受的输出精度，从而减少模型构建的工作量和计算时间。为此，我们首先使用面向对象（O-O）建模中可用的构建块来正式定义不同级别的模型保真度，其中较高级别的操作要么分解为更详细的操作，要么受到较低级别的更多约束。在本文中，定义了五个具有不同保真度的模型。然后，构建符合这些O-O模型的仿真模型。使用这些仿真模型，进行了深入的实验，以检验表征FMS的因素如何导致不同模型输出的相对误差。由于未考虑任何实际系统，因此将从最详细的仿真模型生成的结果用作参考。然后，通过基于回归的元模型总结实验结果。在提出的框架中，确定了用于新FMS的最有效模型，以便从元模型估计的模型的相对误差最接近用户提供的阈值。该框架已通过两个示例FMS进行了测试，并且初步结果看起来很有希望。

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