将数字孪生应用于动态生产调度:综述

IF 9.1 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Robotics and Computer-integrated Manufacturing Pub Date : 2024-05-04 DOI:10.1016/j.rcim.2024.102778
Nada Ouahabi , Ahmed Chebak , Oulaid Kamach , Oussama Laayati , Mourad Zegrari
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引用次数: 0

摘要

数字孪生是一项新兴技术,它能建立一个动态虚拟模型,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,从而提高工业数字化水平。生产调度是可以通过数字孪生技术实现逐步改进的制造活动之一。然而,目前在将数字孪生应用于生产调度方面所做的努力和讨论还不多。为了缓解这方面讨论的不足,本文对数字孪生与动态生产排程的整合进行了系统回顾。首先,本文概述了与数字孪生驱动的生产调度相关的工作。随后,本文将探讨如何在可持续制造、零缺陷制造和以人为本的制造模式等智能制造系统中,将数字孪生应用于生产调度,以提高其实时能力、性能和稳健性。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串联使用的制造技术,以建立一个包含制造资产和人力资源的车间数字孪生系统。最后,本文提出了一个数字孪生概念框架,作为未来研究的基础。
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Leveraging digital twin into dynamic production scheduling: A review

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.

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来源期刊
Robotics and Computer-integrated Manufacturing
Robotics and Computer-integrated Manufacturing 工程技术-工程:制造
CiteScore
24.10
自引率
13.50%
发文量
160
审稿时长
50 days
期刊介绍: The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.
期刊最新文献
Knowledge extraction for additive manufacturing process via named entity recognition with LLMs Digital Twin-driven multi-scale characterization of machining quality: current status, challenges, and future perspectives A dual knowledge embedded hybrid model based on augmented data and improved loss function for tool wear monitoring A real-time collision avoidance method for redundant dual-arm robots in an open operational environment Less gets more attention: A novel human-centered MR remote collaboration assembly method with information recommendation and visual enhancement
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