Tóth Attila, Nagy László, Kennedy Roderick, Bohuš Belej, Abonyi János, Ruppert Tamás
Novitech, New information technologies, Moyzesova 58 Kosice, Slovak Republic.
ELKH-PE Complex Systems Monitoring Research Group, Department of Process Engineering, University of Pannonia, Egyetem u. 10, POB 158, Veszprem H-8200, Hungary.
MethodsX. 2023 Jun 15;11:102260. doi: 10.1016/j.mex.2023.102260. eCollection 2023 Dec.
While the primary focus of Industry 4.0 revolves around extensive digitalization, Industry 5.0, on the other hand, seeks to integrate innovative technologies with human actors, signifying an approach that is more value-driven than technology-centric. The key objectives of the Industry 5.0 paradigm, which were not central to Industry 4.0, underscore that production should not only be digitalized but also resilient, sustainable, and human-centric. This paper is focusing on the human-centric pillar of Industry 5.0. The proposed methodology addresses the need for a human-AI collaborative process design and innovation approach to support the development and deployment of advanced AI-driven co-creation and collaboration tools. The method aims to solve the problem of integrating various innovative agents (human, AI, IoT, robot) in a plant-level collaboration process through a generic semantic definition, utilizing a time event-driven process. It also encourages the development of AI techniques for human-in-the-loop optimization, incorporating cross-checking with alternative feedback loop models. Benefits of this methodology include the Industry 5.0 collaboration architecture (I5arc), which provides new adaptable, generic frameworks, concepts, and methodologies for modern knowledge creation and sharing to enhance plant collaboration processes. •The I5arc aims to investigate and establish a truly integrated human-AI collaboration model, equipped with methods and tools for human-AI driven co-creation.•Provide a framework for the co-execution of processes and activities, with humans remaining empowered and in control.•The framework primarily targets human-AI collaboration processes and activities in industrial plants, with potential applicability to other societal contexts.
虽然工业4.0的主要重点围绕广泛的数字化，但另一方面，工业5.0旨在将创新技术与人类参与者相结合，这意味着一种比以技术为中心更具价值驱动的方法。工业5.0范式的关键目标在工业4.0中并非核心，强调生产不仅应数字化，还应具有弹性、可持续性且以人类为中心。本文聚焦于工业5.0以人类为中心的支柱。所提出的方法解决了对人机协作过程设计和创新方法的需求，以支持先进的人工智能驱动的共创和协作工具的开发与部署。该方法旨在通过通用语义定义，利用时间事件驱动的过程，解决在工厂级协作过程中整合各种创新主体（人类、人工智能、物联网、机器人）的问题。它还鼓励开发用于人在回路优化的人工智能技术，纳入与替代反馈回路模型的交叉检查。这种方法的好处包括工业5.0协作架构（I5arc），它为现代知识创造和共享提供了新的适应性强的通用框架、概念和方法，以增强工厂协作过程。•I5arc旨在研究并建立一个真正集成的人机协作模型，配备用于人机驱动的共创的方法和工具。•为流程和活动的协同执行提供一个框架，使人类保持权力并处于控制之中。•该框架主要针对工业工厂中的人机协作过程和活动，可能适用于其他社会背景。
