Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues

Y Lu, C Liu, I Kevin, K Wang, H Huang, X Xu - Robotics and computer …, 2020 - Elsevier
This paper reviews the recent development of Digital Twin technologies in manufacturing
systems and processes, to analyze the connotation, application scenarios, and research …

A survey on information and communication technologies for industry 4.0: State-of-the-art, taxonomies, perspectives, and challenges

G Aceto, V Persico, A Pescapé - IEEE Communications Surveys …, 2019 - ieeexplore.ieee.org
A new industrial revolution is undergoing, based on a number of technological paradigms.
The will to foster and guide this phenomenon has been summarized in the expression …

Data-driven smart manufacturing

F Tao, Q Qi, A Liu, A Kusiak - Journal of Manufacturing Systems, 2018 - Elsevier
The advances in the internet technology, internet of things, cloud computing, big data, and
artificial intelligence have profoundly impacted manufacturing. The volume of data collected …

Smart factory of industry 4.0: Key technologies, application case, and challenges

B Chen, J Wan, L Shu, P Li, M Mukherjee, B Yin - Ieee Access, 2017 - ieeexplore.ieee.org
Due to the current structure of digital factory, it is necessary to build the smart factory to
upgrade the manufacturing industry. Smart factory adopts the combination of physical …

A smart manufacturing service system based on edge computing, fog computing, and cloud computing

Q Qi, F Tao - IEEE access, 2019 - ieeexplore.ieee.org
The state-of-the-art technologies in new generation information technologies (New IT)
greatly stimulate the development of smart manufacturing. In a smart manufacturing …

[HTML][HTML] The impact of selected components of industry 4.0 on project management

L Kanski, J Pizon - Journal of Innovation & Knowledge, 2023 - Elsevier
Purpose Effective project management has contributed to successful operations and
process management. The aim of this article is to scrutinize the relationship between a …

A Primer on the Factories of the Future

N Anumbe, C Saidy, R Harik - Sensors, 2022 - mdpi.com
In a dynamic and rapidly changing world, customers' often conflicting demands have
continued to evolve, outstripping the ability of the traditional factory to address modern-day …

An Edge Computing Node Deployment Method Based on Improved k-Means Clustering Algorithm for Smart Manufacturing

C Jiang, J Wan, H Abbas - IEEE Systems Journal, 2020 - ieeexplore.ieee.org
With the rapid development of the mobile Internet, Industrial Internet of Things, cyber-
physical systems, and the emergence of edge computing has provided an opportunity to …

A tool condition monitoring system based on low-cost sensors and an IoT platform for rapid deployment

JM Failing, JV Abellán-Nebot, S Benavent Nácher… - Processes, 2023 - mdpi.com
Tool condition monitoring (TCM) systems are key technologies for ensuring machining
efficiency. Despite the large number of TCM solutions, these systems have not been …

A cyber physical production system framework for online monitoring, visualization and control by using cloud, fog, and edge computing technologies

R Kumar, KS Sangwan, C Herrmann… - International Journal of …, 2023 - Taylor & Francis
Cyber physical production system (CPPS) is an essential prerequisite to facilitate online
monitoring, visualization, and control in a smart manufacturing system. The goal of this …