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Unlocking the power...
Unlocking the power of industrial artificial intelligence towards Industry 5.0: Insights, pathways, and challenges
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- Leng, Jiewu (författare)
- Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing, and State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou 510006, China
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- Zhu, Xiaofeng (författare)
- Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing, and State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou 510006, China
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- Huang, Zhiqiang (författare)
- Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing, and State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou 510006, China
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- Li, Xingyu (författare)
- School of Engineering Technology, Purdue University, West Lafayette, IN 47907, USA
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- Zheng, Pai (författare)
- Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China
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- Zhou, Xueliang (författare)
- Department of Electrical and Information Engineering, HuBei University of Automotive Technology, Shiyan 442002, China
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- Mourtzis, Dimitris (författare)
- Laboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and Aeronautics, University of Patras, Rio Patras, 26504, Greece
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- Wang, Baicun (författare)
- State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
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- Qi, Qinglin (författare)
- School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
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- Shao, Haidong (författare)
- College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China
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- Wan, Jiafu (författare)
- School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510641, China
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- Chen, Xin (författare)
- Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing, and State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou 510006, China
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- Wang, Lihui (författare)
- KTH,Industriella produktionssystem
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- Liu, Qiang (författare)
- Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing, and State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou 510006, China
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(creator_code:org_t)
- Elsevier BV, 2024
- 2024
- Engelska.
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Ingår i: Journal of manufacturing systems. - : Elsevier BV. - 0278-6125 .- 1878-6642. ; 73, s. 349-363
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- With the continuous development of human-centric, resilient, and sustainable manufacturing towards Industry 5.0, Artificial Intelligence (AI) has gradually unveiled new opportunities for additional functionalities, new features, and tendencies in the industrial landscape. On the other hand, the technology-driven Industry 4.0 paradigm is still in full swing. However, there exist many unreasonable designs, configurations, and implementations of Industrial Artificial Intelligence (IndAI) in practice before achieving either Industry 4.0 or Industry 5.0 vision, and a significant gap between the individualized requirement and actual implementation result still exists. To provide insights for designing appropriate models and algorithms in the upgrading process of the industry, this perspective article classifies IndAI by rating the intelligence levels and presents four principles of implementing IndAI. Three significant opportunities of IndAI, namely, collaborative intelligence, self-learning intelligence, and crowd intelligence, towards Industry 5.0 vision are identified to promote the transition from a technology-driven initiative in Industry 4.0 to the coexistence and interplay of Industry 4.0 and a value-oriented proposition in Industry 5.0. Then, pathways for implementing IndAI towards Industry 5.0 together with key empowering techniques are discussed. Social barriers, technology challenges, and future research directions of IndAI are concluded, respectively. We believe that our effort can lay a foundation for unlocking the power of IndAI in futuristic Industry 5.0 research and engineering practice.
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)
Nyckelord
- Collaborative intelligence
- Crowd intelligence
- Industrial artificial intelligence
- Industry 5.0
- Self-learning intelligence
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Till lärosätets databas
- Av författaren/redakt...
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Leng, Jiewu
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Zhu, Xiaofeng
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Huang, Zhiqiang
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Li, Xingyu
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Zheng, Pai
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Zhou, Xueliang
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visa fler...
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Mourtzis, Dimitr ...
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Wang, Baicun
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Qi, Qinglin
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Shao, Haidong
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Wan, Jiafu
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Chen, Xin
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Wang, Lihui
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Liu, Qiang
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