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The human-centric Industry 5.0 collaboration architecture
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,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300249/ https://www.ncbi.nlm.nih.gov/pubmed/37388166 http://dx.doi.org/10.1016/j.mex.2023.102260 |
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author | Tóth, Attila Nagy, László Kennedy, Roderick Bohuš, Belej Abonyi, János Ruppert, Tamás |
author_facet | Tóth, Attila Nagy, László Kennedy, Roderick Bohuš, Belej Abonyi, János Ruppert, Tamás |
author_sort | Tóth, Attila |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10300249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103002492023-06-29 The human-centric Industry 5.0 collaboration architecture Tóth, Attila Nagy, László Kennedy, Roderick Bohuš, Belej Abonyi, János Ruppert, Tamás MethodsX Engineering 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. Elsevier 2023-06-15 /pmc/articles/PMC10300249/ /pubmed/37388166 http://dx.doi.org/10.1016/j.mex.2023.102260 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Engineering Tóth, Attila Nagy, László Kennedy, Roderick Bohuš, Belej Abonyi, János Ruppert, Tamás The human-centric Industry 5.0 collaboration architecture |
title | The human-centric Industry 5.0 collaboration architecture |
title_full | The human-centric Industry 5.0 collaboration architecture |
title_fullStr | The human-centric Industry 5.0 collaboration architecture |
title_full_unstemmed | The human-centric Industry 5.0 collaboration architecture |
title_short | The human-centric Industry 5.0 collaboration architecture |
title_sort | human-centric industry 5.0 collaboration architecture |
topic | Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300249/ https://www.ncbi.nlm.nih.gov/pubmed/37388166 http://dx.doi.org/10.1016/j.mex.2023.102260 |
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