Application of a Digital Twin for Proactive Production Planning

Niklas Cedric Schäfer, P. Burggräf, T. Adlon
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引用次数: 1

Abstract

This paper presents the underlying method of a proposed digital twin for proactive production planning. We derived the method based on a requirements analysis considering the challenges in maritime production. Using real-time production feedback data, alternative production scenarios are identified to prevent disruptions and delays in manufacturing and assembly. As part of the ProProS research project, the method is implemented and validated through the development of the digital twin, which offers a platform for the realization of further use cases to be diffused into industrial applications.
数字孪生在主动生产计划中的应用
本文提出了一种用于主动生产计划的数字孪生模型的基本方法。考虑到海上生产中的挑战,我们基于需求分析得出了该方法。利用实时生产反馈数据,可以确定替代生产方案,以防止制造和组装过程中的中断和延迟。作为ProProS研究项目的一部分,该方法通过数字孪生体的开发得到实施和验证,这为实现进一步的用例提供了一个平台,可以扩展到工业应用中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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