Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities
Many industry sectors have been pursuing the adoption of Industry 4.0 (I4. 0) ideas and
technologies, which promise to realize lean and just-in-time production through digitization …
technologies, which promise to realize lean and just-in-time production through digitization …
[HTML][HTML] Current development on the Operator 4.0 and transition towards the Operator 5.0: A systematic literature review in light of Industry 5.0
Abstract Technology-driven Industry 4.0 (I4. 0) paradigm combined with human-centrism,
sustainability, and resilience orientation, forms the Industry 5.0 (I5. 0) paradigm, providing …
sustainability, and resilience orientation, forms the Industry 5.0 (I5. 0) paradigm, providing …
Industry 4.0 ten years on: A bibliometric and systematic review of concepts, sustainability value drivers, and success determinants
The fourth industrial revolution, known as Industry 4.0, and the underlying digital
transformation, is a cutting-edge research topic across various disciplines. Industry 4.0 …
transformation, is a cutting-edge research topic across various disciplines. Industry 4.0 …
Industry 4.0: Adoption challenges and benefits for SMEs
T Masood, P Sonntag - Computers in industry, 2020 - Elsevier
Future industrial systems have been popularised in recent years through buzzwords such as
Industry 4.0, the Internet of Things (IoT), and Cyber Physical Systems (CPS). Whilst the …
Industry 4.0, the Internet of Things (IoT), and Cyber Physical Systems (CPS). Whilst the …
Smart Working in Industry 4.0: How digital technologies enhance manufacturing workers' activities
Prior studies have investigated the relationship between Industry 4.0 technologies and work.
This paper acknowledges the contributions of such studies and builds on their perspective to …
This paper acknowledges the contributions of such studies and builds on their perspective to …
Workforce and supply chain disruption as a digital and technological innovation opportunity for resilient manufacturing systems in the COVID-19 pandemic
During the SARS-CoV-2 pandemic (also known as COVID-19), workforce downsizing
needs, safety requirements, supply chain breaks and inventory shortages affected …
needs, safety requirements, supply chain breaks and inventory shortages affected …
A systematic literature review of machine learning methods applied to predictive maintenance
TP Carvalho, FA Soares, R Vita, RP Francisco… - Computers & Industrial …, 2019 - Elsevier
The amount of data extracted from production processes has increased exponentially due to
the proliferation of sensing technologies. When processed and analyzed, data can bring out …
the proliferation of sensing technologies. When processed and analyzed, data can bring out …