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Optimized throughput improvement of assembly flow line with digital twin online analytics

机译:通过数字孪生在线分析优化了装配流水线的吞吐量

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This work studies a digital twin online analytics for throughput improvement of assembly flow line. As the representation of the physical assembly flow line, the proposed method includes two digital twin models to analyze the online data collected from the physical line and to calculate and apply optimal throughput improvement scheme to the physical line. With the proposed method, the online data could be fully utilized to serve the physical line, and the dependency on the experience of onsite engineers is greatly reduced. Two practical assembly lines are equipped with the proposed digital twin online analytics to demonstrate its effectiveness and efficiency.
机译:这项工作研究了数字孪生在线分析,以提高装配流水线的生产率。作为物理组装流水线的表示,该方法包括两个数字孪生模型,用于分析从物理流水线收集的在线数据,并计算最佳吞吐量改进方案并将其应用于物理流水线。利用所提出的方法,可以充分利用在线数据为物理线路服务,大大减少了对现场工程师经验的依赖。两条实用的装配线均配备了建议的数字孪生在线分析,以证明其有效性和效率。

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