自我优化的数字工厂孪生系统:工业应用案例

Christian Nigischer, Florian Reiterer, Sébastien Bougain, Manfred Grafinger
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引用次数: 0

摘要

数字孪生系统(DT)应用范围广泛,具有可视化、监控、模拟和控制物理系统等优点。为生产设施开发数字孪生系统不仅耗时,而且还要在使用阶段不断更新虚拟对应物。在这项工作中,介绍了基于离散事件仿真(DES)模型的汽车供应商生产现场工业规模 DT 的实施情况,该模型具有自我优化功能,更易于维护并提高了仿真精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-optimizing digital factory twin: an industrial use case
Digital Twins (DTs) are intended to be utilized for a wide range of applications, promising benefits like visualization, monitoring, simulation and control of a physical system. Not only the development of a DT for a production facility is a time-consuming task, but also to keep the virtual counterpart up to date in the use phase. In this work, the implementation of an industrial-scale DT of an automotive supplier production site based on a Discrete-Event Simulation (DES) model with self-optimization capabilities for easier maintainability and increased simulation accuracy is presented.
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