Generative AI empowering parallel manufacturing: Building a “6S” collaborative production ecology for manufacturing 5.0

J Yang, Y Wang, X Wang, X Wang… - … on Systems, Man …, 2024 - ieeexplore.ieee.org
Since Manufacturing 4.0 faces various challenges, including the risks of data leakage and
privacy violation, the struggle to meet the growing demand for personalization, and the …

Parallel manufacturing for industrial metaverses: A new paradigm in smart manufacturing

J Yang, X Wang, Y Zhao - IEEE/CAA Journal of Automatica …, 2022 - ieeexplore.ieee.org
Briefing: To tackle the complexity of human and social factors in manufacturing systems,
parallel manufacturing for industrial metaverses is proposed as a new paradigm in smart …

A blockchain-based framework for collaborative production in distributed and social manufacturing

L Ouyang, Y Yuan, FY Wang - 2019 IEEE international …, 2019 - ieeexplore.ieee.org
In recent years, novel collaborative production paradigms, such as (re-) distributed
manufacturing and social manufacturing, have attracted intensive attention due to their …

Strengthening the Sustainability of Additive Manufacturing through Data‐Driven Approaches and Workforce Development

T Li, J Yeo - Advanced Intelligent Systems, 2021 - Wiley Online Library
The additive manufacturing (AM) industry is rapidly developing and expanding, thereby
becoming an important and integral component of the digital revolution in manufacturing …

A framework for personalized production based on digital twin, blockchain and additive manufacturing in the context of Industry 4.0

D Guo, S Ling, H Li, D Ao, T Zhang… - 2020 IEEE 16th …, 2020 - ieeexplore.ieee.org
The booming customized and personalized demands call for new production paradigms that
complies with that change. The ubiquitous connection, digitization and sharing in the context …

[HTML][HTML] Humans are not machines—anthropocentric human–machine symbiosis for ultra-flexible smart manufacturing

Y Lu, JS Adrados, SS Chand, L Wang - Engineering, 2021 - Elsevier
Dedicated manufacturing systems are fading out as future manufacturing (ie, Industry 4.0 [1])
demands ultra-flexible smart manufacturing systems that can self-adapt to production …

Multi-agent based manufacturing: current trends and challenges

T Pulikottil, LA Estrada-Jimenez… - 2021 26th IEEE …, 2021 - ieeexplore.ieee.org
The advent of Industry 4.0 and the development of future industrial applications can be
achieved using Cyber-Physical Systems (CPS). This technological development invokes …

DeFACT in ManuVerse for parallel manufacturing: Foundation models and parallel workers in smart factories

J Yang, S Li, X Wang, J Lu, H Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In cyber–physical–social systems, smart manufacturing has to overcome challenges, such
as uncertainty, diversity, complexity in modeling, long-delayed responses to market …

[HTML][HTML] The road to accountable and dependable manufacturing

J Pennekamp, R Matzutt, SS Kanhere, J Hiller… - Automation, 2021 - mdpi.com
The Internet of Things provides manufacturing with rich data for increased automation.
Beyond company-internal data exploitation, the sharing of product and manufacturing …

ManuChain: Combining permissioned blockchain with a holistic optimization model as bi-level intelligence for smart manufacturing

J Leng, D Yan, Q Liu, K Xu, JL Zhao… - … on Systems, Man …, 2019 - ieeexplore.ieee.org
The growth of individualized product demands drives high flexibility of manufacturing
processes, which requires large-scale deployment of Industrial Internet of Things (IIoT) …