Digital twin paradigm: A systematic literature review

C Semeraro, M Lezoche, H Panetto, M Dassisti - Computers in Industry, 2021 - Elsevier
Manufacturing enterprises are facing the need to align themselves to the new information
technologies (IT) and respond to the new challenges of variable market demand. One of the …

The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review

T Zheng, M Ardolino, A Bacchetti… - International Journal of …, 2021 - Taylor & Francis
Industry 4.0 (I4. 0) encompasses a plethora of digital technologies effecting on
manufacturing enterprises. Most research on this topic examines the effects in the smart …

Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.0

X Yao, N Ma, J Zhang, K Wang, E Yang… - Journal of Intelligent …, 2024 - Springer
Industry 4.0 focuses on the realization of smart manufacturing based on cyber-physical
systems (CPS). However, emerging Industry 5.0 and Society 5.0 reaches beyond CPS and …

Deep learning-assisted smart process planning, robotic wireless sensor networks, and geospatial big data management algorithms in the internet of manufacturing …

G Lăzăroiu, M Andronie, M Iatagan… - … International Journal of …, 2022 - mdpi.com
The purpose of our systematic review is to examine the recently published literature on the
Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep …

Design of a smart factory based on cyber-physical systems and Internet of Things towards Industry 4.0

M Ryalat, H ElMoaqet, M AlFaouri - Applied Sciences, 2023 - mdpi.com
The rise of Industry 4.0, which employs emerging powerful and intelligent technologies and
represents the digital transformation of manufacturing, has a significant impact on society …

Artificial intelligence-based decision-making algorithms, internet of things sensing networks, and deep learning-assisted smart process management in cyber-physical …

M Andronie, G Lăzăroiu, M Iatagan, C Uță… - Electronics, 2021 - mdpi.com
With growing evidence of deep learning-assisted smart process planning, there is an
essential demand for comprehending whether cyber-physical production systems (CPPSs) …

[HTML][HTML] Smart manufacturing and intelligent manufacturing: A comparative review

B Wang, F Tao, X Fang, C Liu, Y Liu, T Freiheit - Engineering, 2021 - Elsevier
The application of intelligence to manufacturing has emerged as a compelling topic for
researchers and industries around the world. However, different terminologies, namely …

Relationships between industry 4.0, sustainable manufacturing and circular economy: proposal of a research framework

S Bag, JHC Pretorius - International Journal of Organizational …, 2022 - emerald.com
Purpose The digital revolution has brought many challenges and opportunities for the
manufacturing firms. The impact of Industry 4.0 technology adoption on sustainable …

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 …

From IoT-based cloud manufacturing approach to intelligent additive manufacturing: Industrial Internet of Things—An overview

L Haghnegahdar, SS Joshi, NB Dahotre - The International Journal of …, 2022 - Springer
Abstract The industrial Internet of Things (IIoT) has grown to empower advantages of
advanced manufacturing machinery and smarter control. The cloud-based technology of …