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Generative artifici...
Generative artificial intelligence in manufacturing : opportunities for actualizing Industry 5.0 sustainability goals
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- Ghobakhloo, Morteza (författare)
- Uppsala universitet,Industriell teknik,Kaunas Univ Technol, Sch Econ & Business, Kaunas, Lithuania.
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- Fathi, Masood (författare)
- Uppsala universitet,Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Division of Industrial Engineering and Management, Uppsala University, Sweden,Virtual Production Development (VPD),Industriell teknik,Univ Skövde, Sch Engn Sci, Div Intelligent Prod Syst, Skövde, Sweden.
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- Iranmanesh, Mohammad (författare)
- La Trobe University, Melbourne, Australia,La Trobe Univ, Melbourne, Australia.
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- Vilkas, Mantas (författare)
- School of Economics and Business, Kaunas University of Technology, Lithuania,Kaunas Univ Technol, Sch Econ & Business, Kaunas, Lithuania.
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- Grybauskas, Andrius (författare)
- School of Economics and Business, Kaunas University of Technology, Lithuania,Kaunas Univ Technol, Sch Econ & Business, Kaunas, Lithuania.
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- Amran, Azlan (författare)
- Graduate School of Business, Universiti Sains Malaysia, Penang, Malaysia,Univ Sains Malaysia, Grad Sch Business, Gelugor, Penang, Malaysia.
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(creator_code:org_t)
- Emerald Group Publishing Limited, 2024
- 2024
- Engelska.
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Ingår i: Journal of Manufacturing Technology Management. - : Emerald Group Publishing Limited. - 1741-038X .- 1758-7786. ; 35:9, s. 94-121
- Relaterad länk:
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https://doi.org/10.1...
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https://his.diva-por... (primary) (Raw object)
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https://uu.diva-port... (primary) (Raw object)
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https://urn.kb.se/re...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- Purpose: This study offers practical insights into how generative artificial intelligence (AI) can enhance responsible manufacturing within the context of Industry 5.0. It explores how manufacturers can strategically maximize the potential benefits of generative AI through a synergistic approach. Design/methodology/approach: The study developed a strategic roadmap by employing a mixed qualitative-quantitative research method involving case studies, interviews and interpretive structural modeling (ISM). This roadmap visualizes and elucidates the mechanisms through which generative AI can contribute to advancing the sustainability goals of Industry 5.0. Findings: Generative AI has demonstrated the capability to promote various sustainability objectives within Industry 5.0 through ten distinct functions. These multifaceted functions address multiple facets of manufacturing, ranging from providing data-driven production insights to enhancing the resilience of manufacturing operations. Practical implications: While each identified generative AI function independently contributes to responsible manufacturing under Industry 5.0, leveraging them individually is a viable strategy. However, they synergistically enhance each other when systematically employed in a specific order. Manufacturers are advised to strategically leverage these functions, drawing on their complementarities to maximize their benefits. Originality/value: This study pioneers by providing early practical insights into how generative AI enhances the sustainability performance of manufacturers within the Industry 5.0 framework. The proposed strategic roadmap suggests prioritization orders, guiding manufacturers in decision-making processes regarding where and for what purpose to integrate generative AI.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Annan teknik -- Övrig annan teknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies -- Other Engineering and Technologies not elsewhere specified (hsv//eng)
Nyckelord
- Digital transformation
- Generative AI impact
- Human centric
- Industry 5.0
- Resilience
- Sustainable development goals
- Decision making
- Sustainable development
- Design/methodology/approach
- Generative artificial intelligence impact
- Human-centric
- Manufacturing opportunities
- Potential benefits
- Roadmap
- Sustainable development goal
- Artificial intelligence
- Virtual Production Development (VPD)
- Virtual Production Development (VPD)
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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