虚拟现实模拟在工业 4.0 制造业中的作用

IF 2.3 4区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Systems Pub Date : 2024-01-12 DOI:10.3390/systems12010026
Ikpe Justice Akpan, Onyebuchi Felix Offodile
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引用次数: 0

摘要

从第一次到第四次工业革命(4IR)或工业 4.0(i4.0),制造业一直走在创新和数字技术应用的前沿。然而,4IR 或 i4.0 带来了多样化的集成技术,往往会一扫所有旧秩序。本研究对虚拟现实仿真(VRSIM)在 4IR 制造业中的作用研究进行了科学规划,揭示了虚拟现实仿真的若干作用和优势。对相关文献概念结构的分析突出了虚拟现实仿真(VRSIM)在 i4.0 时代的背景、应用和相关性,包括其在预测建模和仿真、数字孪生和预测性维护、增材制造和三维打印、虚拟制造和沉浸式虚拟数字工厂仿真中的强大作用。VRSIM 还提供了一个逼真的虚拟环境,用于绘制不同制造环境中的人机协作图,如飞机和汽车装配线、评估流程、对工厂工人进行安全培训,以及评估工人在数字化生产和运营中的工效学。制造业中的 VRSIM 提供了活跃的研究活动,发表的文献越来越多,其影响吸引了工业工程、制造系统、生产和运营以及信息技术领域的核心资源。
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The Role of Virtual Reality Simulation in Manufacturing in Industry 4.0
From the first to the fourth industrial revolutions (4IR) or Industry 4.0 (i4.0), the manufacturing sector has always been at the forefront of innovation and digital technology adoption. However, 4IR or i4.0 comes with diverse and integrated technologies that tend to sweep off all the old orders. This study undertakes a science mapping of research on the role of virtual reality simulation (VRSIM) in manufacturing in the 4IR, which reveals several roles and benefits. The analysis of the conceptual structure of relevant literature highlights the contexts, applications, and relevance of VRSIM in the i4.0 era, including its potent role in predictive modeling and simulation, digital twin and predictive maintenance, additive manufacturing and 3D printing, and virtual manufacturing and immersive virtual digital factory simulation. VRSIM also offers a realistic virtual environment for mapping human–robot collaboration in different manufacturing environments, such as aircraft and automotive assembly lines, evaluating processes, training factory workers on safety, and assessing workers’ ergonomics in digital production and operations. VRSIM in manufacturing offers active research activities, with increasing literature publications and impacts attracting core sources in industrial engineering, manufacturing systems, production and operations, and information technology.
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来源期刊
Systems
Systems Decision Sciences-Information Systems and Management
CiteScore
2.80
自引率
15.80%
发文量
204
审稿时长
11 weeks
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