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Leveraging digital twin into dynamic production scheduling: A review
Robotics and Computer-Integrated Manufacturing ( IF 10.4 ) Pub Date : 2024-05-04 , DOI: 10.1016/j.rcim.2024.102778
Nada Ouahabi , Ahmed Chebak , Oulaid Kamach , Oussama Laayati , Mourad Zegrari

The digital twin is an emerging technology that enhances industrial digitalization, as it establishes a dynamic virtual model that emulates a specific phenomenon of the corresponding physical system, thus imparting added value in many manufacturing activities. Production scheduling is one of the manufacturing activities that can fulfill step-improvements from the digital twin. However, modest endeavors and discussions have been achieved in the application of the digital twin in production scheduling. To alleviate the scarcity of discussions on this topic, this paper provides a systematic review of the integration of the digital twin and dynamic production scheduling. First, this paper presents a summary of works related to digital twin-driven production scheduling. Subsequently, the paper investigates how to leverage the digital twin into production scheduling to improve its real-time capability, performance, and robustness within smart manufacturing systems such as sustainable manufacturing, zero-defect manufacturing, and human-centric manufacturing paradigms. Emphasis will then be placed on identifying research opportunities that need further investigation. Additionally, the paper discusses some manufacturing technologies that can be used in tandem to establish a shop floor digital twin encompassing both manufacturing assets and human resources. Finally, a conceptual digital twin framework is proposed to underpin future research.

中文翻译:

利用数字孪生进行动态生产调度:回顾

数字孪生是一项增强工业数字化的新兴技术,因为它建立了一个动态虚拟模型来模拟相应物理系统的特定现象,从而为许多制造活动带来附加值。生产调度是可以实现数字孪生逐步改进的制造活动之一。然而,数字孪生在生产调度中的应用已经取得了一定的成果和讨论。为了缓解该主题讨论的稀缺性,本文对数字孪生和动态生产调度的集成进行了系统回顾。首先,本文对数字孪生驱动的生产调度相关工作进行了总结。随后,本文研究了如何将数字孪生应用于生产调度,以提高其在智能制造系统(例如可持续制造、零缺陷制造和以人为中心的制造范例)中的实时能力、性能和鲁棒性。然后重点将放在确定需要进一步调查的研究机会上。此外,本文还讨论了一些可协同使用的制造技术,以建立涵盖制造资产和人力资源的车间数字孪生。最后,提出了一个概念性的数字孪生框架来支持未来的研究。
更新日期:2024-05-04
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