Digital twins-based smart manufacturing system design in Industry 4.0: A review

J Leng, D Wang, W Shen, X Li, Q Liu, X Chen - Journal of manufacturing …, 2021 - Elsevier
A smart manufacturing system (SMS) is a multi-field physical system with complex couplings
among various components. Usually, designers in various fields can only design …

[HTML][HTML] Application of automation for in-line quality inspection, a zero-defect manufacturing approach

V Azamfirei, F Psarommatis, Y Lagrosen - Journal of Manufacturing …, 2023 - Elsevier
Contemporary manufacturing must prioritise the sustainability of its manufacturing processes
and systems. Zero Defect Manufacturing (ZDM) focusses on minimising waste of any kind …

Industry 5.0: Prospect and retrospect

J Leng, W Sha, B Wang, P Zheng, C Zhuang… - Journal of Manufacturing …, 2022 - Elsevier
Industry 5.0 blows the whistle on global industrial transformation. It aims to place humans'
well-being at the center of manufacturing systems, thereby achieving social goals beyond …

[HTML][HTML] Industry 5.0 implications for inclusive sustainable manufacturing: An evidence-knowledge-based strategic roadmap

M Ghobakhloo, M Iranmanesh, B Foroughi… - Journal of Cleaner …, 2023 - Elsevier
Despite the hype surrounding Industry 5.0 and its importance for sustainability, the micro-
mechanisms through which this agenda can lead to socio-environmental values are largely …

Towards resilience in Industry 5.0: A decentralized autonomous manufacturing paradigm

J Leng, Y Zhong, Z Lin, K Xu, D Mourtzis, X Zhou… - Journal of Manufacturing …, 2023 - Elsevier
Manufacturers are increasingly aware of the importance of system resilience against
unexpected disruptive occurrences, such as the recent global Covid-19 pandemic and …

[HTML][HTML] Changes and improvements in Industry 5.0: A strategic approach to overcome the challenges of Industry 4.0

M Khan, A Haleem, M Javaid - Green Technologies and Sustainability, 2023 - Elsevier
Industry 4.0 has introduced new technological advances such as Additive Manufacturing
(AM), Artificial Intelligence (AI), Augmented Reality (AR), Cyber–physical systems (CPS) …

Towards new-generation human-centric smart manufacturing in Industry 5.0: A systematic review

C Zhang, Z Wang, G Zhou, F Chang, D Ma… - Advanced Engineering …, 2023 - Elsevier
As businesses started to embrace Industry 4.0, along came the Fifth Industrial Revolution.
Industry 5.0 complements the existing Industry 4.0 paradigm for the not-too-distant future by …

[HTML][HTML] Digital twin-driven real-time planning, monitoring, and controlling in food supply chains

P Maheshwari, S Kamble, A Belhadi… - … Forecasting and Social …, 2023 - Elsevier
There needs to be more clarity about when and how the digital twin approach could benefit
the food supply chains. In this study, we develop and solve an integrated problem of …

[HTML][HTML] Big data-driven correlation analysis based on clustering for energy-intensive manufacturing industries

S Ma, Y Huang, Y Liu, H Liu, Y Chen, J Wang, J Xu - Applied Energy, 2023 - Elsevier
Abstract In Industry 4.0, the production data obtained from the Internet of Things has reached
the magnitude of big data with the emergence of advanced information and communication …

Blockchained smart contract pyramid-driven multi-agent autonomous process control for resilient individualised manufacturing towards Industry 5.0

J Leng, W Sha, Z Lin, J Jing, Q Liu… - International Journal of …, 2023 - Taylor & Francis
The production control for the mass individualisation paradigm of R&D-stage products is
challenging due to the mix-flow and frequently-disturbed environment. With the convergence …