Toward a Human-Centric and Cognitive Integration Paradigm in Industry 5.0: Implications for Production Engineering

IF 3.3 Q2 ENGINEERING, INDUSTRIAL
Marcos Vido, Geraldo Neto, Francesco Facchini, Salvatore Digiesi
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引用次数: 0

Abstract

The fifth industrial revolution, known as Industry 5.0 (I5.0), has a vision for a new, resilient, socio-centred and competitive industry. The new approach provides a vision to enhance human-machine interaction (HMI) and assist operators efficiently. This study investigates the integration of human-centric principles within Industry 5.0, specifically in production engineering, with a central focus on the collaboration between humans and machines. Through an extensive literature review, the research identifies emerging trends and significant gaps in the current body of knowledge, especially regarding the development of intuitive and flexible interfaces, ethical frameworks in automated systems, and the management of cognitive load within manufacturing environments. The findings reveal considerable gaps in understanding the practical application of HMI across various industrial settings, emphasising the need for production technologies that enhance capabilities and advance a sustainable, ethical, and human-centred manufacturing landscape. This research contributes to the ongoing discourse on I5.0 by advocating for frameworks that prioritise human-centric values alongside technological innovation.

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工业5.0中以人为中心的认知整合范式:对生产工程的启示
第五次工业革命被称为工业5.0 (I5.0),它的愿景是建立一个新的、有弹性的、以社会为中心的、有竞争力的工业。新方法提供了增强人机交互(HMI)和有效协助操作员的愿景。本研究调查了工业5.0中以人为中心原则的集成,特别是在生产工程中,重点关注人与机器之间的协作。通过广泛的文献回顾,该研究确定了当前知识体系中的新兴趋势和重大差距,特别是关于直观和灵活界面的开发,自动化系统中的道德框架以及制造环境中认知负荷的管理。研究结果表明,在理解HMI在各种工业环境中的实际应用方面存在相当大的差距,强调需要提高能力和推进可持续、道德和以人为本的制造环境的生产技术。这项研究通过倡导优先考虑以人为中心的价值观和技术创新的框架,为正在进行的I5.0论述做出了贡献。
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来源期刊
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
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