[HTML][HTML] Exploring impact and features of machine vision for progressive industry 4.0 culture

M Javaid, A Haleem, RP Singh, S Rab, R Suman - Sensors International, 2022 - Elsevier
Abstract Machine Vision (MV), like other digital technologies, is a critical component of
Industry 4.0. The high volume of data accessible by visual equipment can well quickly detect …

[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 …

Implementing Industry 4.0 technologies in self-healing materials and digitally managing the quality of manufacturing

M Ammar, A Haleem, M Javaid, S Bahl… - Materials Today …, 2022 - Elsevier
Quality has always been an essential part of manufacturing. Companies have always
focused on methods and techniques to improve and manage the quality, even in the past …

Industrial revolution and environmental sustainability: an analytical interpretation of research constituents in Industry 4.0

A Malik, S Sharma, I Batra, C Sharma… - International Journal of …, 2024 - emerald.com
Purpose Environmental sustainability is quickly becoming one of the most critical issues in
industry development. This study aims to conduct a systematic literature review through …

The effects of industry 4.0 on productivity: A scientific mapping study

H Özköse, G Güney - Technology in Society, 2023 - Elsevier
Industry 4.0 is a prevailing topic in contemporary discourse, and the volume of scholarly
research in this domain is rapidly expanding. Within the last decade alone, the Web of …

A critical review on applications of artificial intelligence in manufacturing

O Mypati, A Mukherjee, D Mishra, SK Pal… - Artificial Intelligence …, 2023 - Springer
The fourth industrial revolution, Industry 4.0, has brought internet, artificial intelligence (AI),
and machine learning (ML) concepts into manufacturing. There is an immediate need to …

Smart energy management system: design of a monitoring and peak load forecasting system for an experimental open-pit mine

O Laayati, M Bouzi, A Chebak - Applied System Innovation, 2022 - mdpi.com
Digitization in the mining industry and machine learning applications have improved the
production by showing insights in different components. Energy consumption is one of the …

An online framework for cognitive load assessment in industrial tasks

M Lagomarsino, M Lorenzini, E De Momi… - Robotics and Computer …, 2022 - Elsevier
The ongoing trend toward Industry 4.0 has revolutionised ordinary workplaces, profoundly
changing the role played by humans in the production chain. Research on ergonomics in …

Development and future trends of digital product-service systems: A bibliometric analysis approach

S Rakic, N Medic, J Leoste, T Vuckovic… - Applied System …, 2023 - mdpi.com
As a plan, Industry 4.0 encourages manufacturing companies to switch from conventional
Product-Service Systems to Digital Product-Service Systems. Systems of goods, services …

Quality 4.0 and cognitive engineering applied to quality management systems: a framework

AV Carvalho, TM Lima - Applied System Innovation, 2022 - mdpi.com
In order to create high-quality products, quality engineering must be integrated across the
entire product development process. To accomplish the ultimate goal, innovative …