人机协作制造中以人为中心的质量监测诊断工具

IF 2.4 3区 工程技术 Q3 ENGINEERING, MANUFACTURING
E. Verna, Stefano Puttero, G. Genta, M. Galetto
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引用次数: 0

摘要

制造业目前面临着对定制产品日益增长的需求,导致从大规模生产转向大规模定制。因此,运营商需要生产多种复杂程度不同的产品变体,同时保持高质量的标准。此外,根据以人为中心的Industry 5.0范式,确保工人的福祉与生产质量同等重要。本文提出了一种新的工具,即“人机协作质量和幸福感评估工具”(HRC-QWAT),该工具将对产品变体制造过程中产生的整体缺陷的分析与对人类幸福感的压力反应评估相结合。HRC-QWAT能够从更广泛的角度评估和监控产品变体生产过程中的人机协作系统。以人机协同装配为例,验证了该方法的适用性。研究结果表明,HRC-QWAT可以评估生产质量和人类福祉,为企业监控和改进生产流程提供了有用的工具。总之,本文有助于在人机协同制造的背景下开发一种以人为中心的质量监控方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Diagnostic Tool for Human-Centric Quality Monitoring in Human-Robot Collaboration Manufacturing
The manufacturing industry is currently facing an increasing demand for customized products, leading to a shift from mass production to mass customization. As a result, operators are required to produce multiple product variants with varying complexity levels while maintaining high-quality standards. Further, in line with the human-centered paradigm of Industry 5.0, ensuring the well-being of workers is equally important as production quality. This paper proposes a novel tool, the “Human-Robot Collaboration Quality and Well-Being Assessment Tool” (HRC-QWAT), which combines the analysis of overall defects generated during product variant manufacturing with the evaluation of human well-being in terms of stress response. The HRC-QWAT enables the evaluation and monitoring of human-robot collaboration systems during product variant production from a broader standpoint. A case study of collaborative human-robot assembly is used to demonstrate the applicability of the proposed approach. The results suggest that the HRC-QWAT can evaluate both production quality and human well-being, providing a useful tool for companies to monitor and improve their manufacturing processes. Overall, this paper contributes to developing a human-centric approach to quality monitoring in the context of human-robot collaborative manufacturing.
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来源期刊
CiteScore
6.80
自引率
20.00%
发文量
126
审稿时长
12 months
期刊介绍: Areas of interest including, but not limited to: Additive manufacturing; Advanced materials and processing; Assembly; Biomedical manufacturing; Bulk deformation processes (e.g., extrusion, forging, wire drawing, etc.); CAD/CAM/CAE; Computer-integrated manufacturing; Control and automation; Cyber-physical systems in manufacturing; Data science-enhanced manufacturing; Design for manufacturing; Electrical and electrochemical machining; Grinding and abrasive processes; Injection molding and other polymer fabrication processes; Inspection and quality control; Laser processes; Machine tool dynamics; Machining processes; Materials handling; Metrology; Micro- and nano-machining and processing; Modeling and simulation; Nontraditional manufacturing processes; Plant engineering and maintenance; Powder processing; Precision and ultra-precision machining; Process engineering; Process planning; Production systems optimization; Rapid prototyping and solid freeform fabrication; Robotics and flexible tooling; Sensing, monitoring, and diagnostics; Sheet and tube metal forming; Sustainable manufacturing; Tribology in manufacturing; Welding and joining
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