Simulation-based Digital Twin for enhancing human-robot collaboration in assembly systems

IF 12.2 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Journal of Manufacturing Systems Pub Date : 2024-11-09 DOI:10.1016/j.jmsy.2024.10.024

Antonio Cimino , Francesco Longo , Letizia Nicoletti , Vittorio Solina

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引用次数: 0

Abstract

The advent of new technologies and paradigms such as the Internet of Things (IoTs), Digital Twin (DT), Human-Robot Collaboration (HRC), is offering immense opportunities to improve the performance of manufacturing systems, but also opening new challenges. The current scientific literature highlights the presence of numerous theoretical studies, but limited real-life applications, and the need to address interoperability issues, with the aim of valorizing the data continuously generated by humans, robots, machines. This research presents a novel simulation-based DT, designed for supporting HRC optimization in assembly systems. The proposed approach is tested and validated, through a case study in the automotive sector, specifically focusing on an assembly line for car front doors. The results show that it is possible to achieve HRC improvements through the assessment of different working configurations. Furthermore, it is explained how the simulation-based DT, by leveraging the FIWARE/FIROS paradigm, can effectively and efficiently interact with other systems, to enable real-time data exchange, which is nowadays one of the main open research challenges.

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基于仿真的数字孪生系统，用于加强装配系统中的人机协作

物联网（IoTs）、数字孪生（DT）、人机协作（HRC）等新技术和新模式的出现，为提高制造系统的性能提供了巨大的机遇，同时也带来了新的挑战。目前的科学文献强调了大量理论研究的存在，但现实生活中的应用却很有限，而且需要解决互操作性问题，目的是使人类、机器人和机器不断产生的数据发挥价值。本研究提出了一种新颖的基于模拟的 DT，旨在支持装配系统中的热轧卷优化。通过对汽车行业的案例研究，特别是对汽车前门装配线的研究，对所提出的方法进行了测试和验证。结果表明，通过评估不同的工作配置，可以实现 HRC 的改进。此外，还解释了基于仿真的 DT 如何利用 FIWARE/FIROS 范式，有效地与其他系统进行交互，从而实现实时数据交换，这也是当今主要的开放式研究挑战之一。

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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来源期刊

Journal of Manufacturing Systems 工程技术-工程：工业

CiteScore

23.30

自引率

13.20%

发文量

216

审稿时长

25 days

期刊介绍： The Journal of Manufacturing Systems is dedicated to showcasing cutting-edge fundamental and applied research in manufacturing at the systems level. Encompassing products, equipment, people, information, control, and support functions, manufacturing systems play a pivotal role in the economical and competitive development, production, delivery, and total lifecycle of products, meeting market and societal needs. With a commitment to publishing archival scholarly literature, the journal strives to advance the state of the art in manufacturing systems and foster innovation in crafting efficient, robust, and sustainable manufacturing systems. The focus extends from equipment-level considerations to the broader scope of the extended enterprise. The Journal welcomes research addressing challenges across various scales, including nano, micro, and macro-scale manufacturing, and spanning diverse sectors such as aerospace, automotive, energy, and medical device manufacturing.