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 …

[HTML][HTML] Substantial capabilities of robotics in enhancing industry 4.0 implementation

M Javaid, A Haleem, RP Singh, R Suman - Cognitive Robotics, 2021 - Elsevier
There is the increased application of new technologies in manufacturing, service, and
communications. Industry 4.0 is the new fourth industrial revolution, which supports …

Simulation in industry 4.0: A state-of-the-art review

W de Paula Ferreira, F Armellini… - Computers & Industrial …, 2020 - Elsevier
Simulation is a key technology for developing planning and exploratory models to optimize
decision making as well as the design and operations of complex and smart production …

Industrial Artificial Intelligence for industry 4.0-based manufacturing systems

J Lee, H Davari, J Singh, V Pandhare - Manufacturing letters, 2018 - Elsevier
Abstract The recent White House report on Artificial Intelligence (AI)(Lee, 2016) highlights
the significance of AI and the necessity of a clear roadmap and strategic investment in this …

A survey on model-based distributed control and filtering for industrial cyber-physical systems

D Ding, QL Han, Z Wang, X Ge - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Industrial cyber-physical systems (CPSs) are large-scale, geographically dispersed, and life-
critical systems, in which lots of sensors and actuators are embedded and networked …

Application of big data and machine learning in smart grid, and associated security concerns: A review

E Hossain, I Khan, F Un-Noor, SS Sikander… - Ieee …, 2019 - ieeexplore.ieee.org
This paper conducts a comprehensive study on the application of big data and machine
learning in the electrical power grid introduced through the emergence of the next …

A computer science perspective on digital transformation in production

P Brauner, M Dalibor, M Jarke, I Kunze… - ACM Transactions on …, 2022 - dl.acm.org
The Industrial Internet-of-Things (IIoT) promises significant improvements for the
manufacturing industry by facilitating the integration of manufacturing systems by Digital …

Driven by data or derived through physics? a review of hybrid physics guided machine learning techniques with cyber-physical system (cps) focus

R Rai, CK Sahu - IEEe Access, 2020 - ieeexplore.ieee.org
A multitude of cyber-physical system (CPS) applications, including design, control,
diagnosis, prognostics, and a host of other problems, are predicated on the assumption of …

A human-in-the-loop manufacturing control architecture for the next generation of production systems

C Cimini, F Pirola, R Pinto, S Cavalieri - Journal of manufacturing systems, 2020 - Elsevier
In recent years, the introduction of Industry 4.0 technologies in the manufacturing landscape
promoted the development of smart factories characterised by relevant socio-technical …

Industrial cyberphysical systems: A backbone of the fourth industrial revolution

AW Colombo, S Karnouskos, O Kaynak… - IEEE Industrial …, 2017 - ieeexplore.ieee.org
Cyberphysical systems (CPSs) are perceived as the pivotal enabler for a new era of real-
time Internet-based communication and collaboration among value-chain participants, eg …