Digital twins: A survey on enabling technologies, challenges, trends and future prospects

S Mihai, M Yaqoob, DV Hung, W Davis… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Digital Twin (DT) is an emerging technology surrounded by many promises, and potentials
to reshape the future of industries and society overall. A DT is a system-of-systems which …

Industrial artificial intelligence in industry 4.0-systematic review, challenges and outlook

RS Peres, X Jia, J Lee, K Sun, AW Colombo… - IEEE …, 2020 - ieeexplore.ieee.org
The advent of the Industry 4.0 initiative has made it so that manufacturing environments are
becoming more and more dynamic, connected but also inherently more complex, with …

Towards edge computing in intelligent manufacturing: Past, present and future

G Nain, KK Pattanaik, GK Sharma - Journal of Manufacturing Systems, 2022 - Elsevier
Abstract Industry 4.0 (I4. 0) is the fourth industrial revolution and a synonym for intelligent
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …

A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs-A review and empirical investigation

SS Kamble, A Gunasekaran, A Ghadge… - International journal of …, 2020 - Elsevier
The smart manufacturing systems (SMS) offer several advantages compared to the
traditional manufacturing systems and are increasingly being adopted by manufacturing …

Digital twin enhanced dynamic job-shop scheduling

M Zhang, F Tao, AYC Nee - Journal of Manufacturing Systems, 2021 - Elsevier
For dynamic scheduling, which is daily decision-making in a job-shop, machine availability
prediction, disturbance detection and performance evaluation are always common …

Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review

Y Liu, L Guo, H Gao, Z You, Y Ye, B Zhang - Mechanical Systems and …, 2022 - Elsevier
Abstract Machine vision based condition monitoring and fault diagnosis of machine tools
(MVCMFD-MTs) is a vital technique of condition-based maintenance (CBM) in both metal …

Artificial intelligence applications for increasing resource efficiency in manufacturing companies—a comprehensive review

L Waltersmann, S Kiemel, J Stuhlsatz, A Sauer… - Sustainability, 2021 - mdpi.com
Sustainability improvements in industrial production are essential for tackling climate
change and the resulting ecological crisis. In this context, resource efficiency can directly …

Indirect monitoring of machining characteristics via advanced sensor systems: a critical review

ME Korkmaz, MK Gupta, Z Li, GM Krolczyk… - … International Journal of …, 2022 - Springer
On-line monitoring of the machining processes provides to detect the amount and type of
tool wear which is critical for the determination of remaining useful lifetime of cutting tool …

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 …

A state-of-the-art review on sensors and signal processing systems in mechanical machining processes

M Kuntoğlu, E Salur, MK Gupta, M Sarıkaya… - … International Journal of …, 2021 - Springer
Sensors are the main equipment of the data-based enterprises for diagnosis of the health of
system. Offering time-or frequency-dependent systemic information provides prognosis with …