Industry 5.0 and its technologies: A systematic literature review upon the human place into IoT-and CPS-based industrial systems

E Valette, HB El-Haouzi, G Demesure - Computers & Industrial Engineering, 2023 - Elsevier
Industry 4.0 has fueled research for almost a decade now. Beyond production efficiency, it
has raised sustainability issues and societal challenges. However, these have mainly been …

[HTML][HTML] Exploring how new industrial paradigms affect the workforce: A literature review of Operator 4.0.

M Ciccarelli, A Papetti, M Germani - Journal of Manufacturing Systems, 2023 - Elsevier
The ongoing paradigm transition from Industry 4.0 to Industry 5.0 is driving toward a new
industrial vision rooted in addressing human and planetary needs rather than solely …

Human-in-loop: A review of smart manufacturing deployments

M Bhattacharya, M Penica, E O'Connell, M Southern… - Systems, 2023 - mdpi.com
The recent increase in computational capability has led to an unprecedented increase in the
range of new applications where machine learning can be used in real time …

Manufacturing in the age of human-centric and sustainable industry 5.0: application to holonic, flexible, reconfigurable and smart manufacturing systems

C Turner, J Oyekan - Sustainability, 2023 - mdpi.com
This paper provides a classification of manufacturing types in terms of new technological
tools provided in the Industry 5.0 framework. The manufacturing types agile, holonic, flexible …

Intelligent retrofitting paradigm for conventional machines towards the digital triplet hierarchy

H Alimam, G Mazzuto, M Ortenzi, FE Ciarapica… - Sustainability, 2023 - mdpi.com
Industry 4.0 is evolving through technological advancements, leveraging information
technology to enhance industry with digitalisation and intelligent activities. Whereas Industry …

Data Augmentation-Based Manufacturing Quality Prediction Approach in Human Cyber-Physical Systems

T Wang, B Hu, Y Feng, X Gao… - Journal of …, 2023 - asmedigitalcollection.asme.org
The vigorous development of the human cyber-physical system (HCPS) and the next
generation of artificial intelligence provide new ideas for smart manufacturing, where …

Human-in-the-loop machine learning with applications for population health

L Chen, J Wang, B Guo, L Chen - CCF Transactions on Pervasive …, 2023 - Springer
Though technical advance of artificial intelligence and machine learning has enabled many
promising intelligent systems, many computing tasks are still not able to be fully …

A multi-type artifact framework for cyber–physical, social systems design and development

Z Maamar, E Kajan, M Al-Khafajiy, M Dohan… - Internet of Things, 2023 - Elsevier
This paper discusses the design and development of cyber–physical, social systems using a
set of guidelines that capture the conceptual and technical characteristics of such systems …

Examining Industry 4.0 through the lens of human resource and knowledge management: Implications for SMEs

T Csizmadia, N Obermayer, E Bogdány… - Management & …, 2023 - sciendo.com
The change caused by Industry 4.0 (I4. 0) has fundamentally changed our lives and
operations of organisations. The objective of the article is to reveal whether I4. 0 …

The Roles and Modes of Human Interactions with Automated Machine Learning Systems: A Critical Review and Perspectives

TT Khuat, DJ Kedziora, B Gabrys - Foundations and Trends® …, 2023 - nowpublishers.com
As automated machine learning (AutoML) systems continue to progress in both
sophistication and performance, it becomes important to understand the 'how'and 'why'of …