A survey on AI-driven digital twins in industry 4.0: Smart manufacturing and advanced robotics

Z Huang, Y Shen, J Li, M Fey, C Brecher - Sensors, 2021 - mdpi.com
Digital twin (DT) and artificial intelligence (AI) technologies have grown rapidly in recent
years and are considered by both academia and industry to be key enablers for Industry 4.0 …

Manufacturing big data ecosystem: A systematic literature review

Y Cui, S Kara, KC Chan - Robotics and computer-integrated Manufacturing, 2020 - Elsevier
Advanced manufacturing is one of the core national strategies in the US (AMP), Germany
(Industry 4.0) and China (Made-in China 2025). The emergence of the concept of Cyber …

Digital twin as a service (DTaaS) in industry 4.0: an architecture reference model

S Aheleroff, X Xu, RY Zhong, Y Lu - Advanced Engineering Informatics, 2021 - Elsevier
Recent findings have shown that Digital Twin served multiple constituencies. However, the
dilemma between the scope and scale needs a sophisticated reference architecture, a right …

Industry 4.0 reference architectures: State of the art and future trends

EY Nakagawa, PO Antonino, F Schnicke… - Computers & Industrial …, 2021 - Elsevier
Industry 4.0 has led to a dramatic shift in manufacturing processes, which must be
accomplished by interacting end-to-end industrial systems. While Industry 4.0 is still a big …

Developing a digital twin and digital thread framework for an 'Industry 4.0'Shipyard

TY Pang, JD Pelaez Restrepo, CT Cheng, A Yasin… - Applied Sciences, 2021 - mdpi.com
This paper provides an overview of the current state-of-the-art digital twin and digital thread
technology in industrial operations. Both are transformational technologies that have the …

A survey of the advancing use and development of machine learning in smart manufacturing

M Sharp, R Ak, T Hedberg Jr - Journal of manufacturing systems, 2018 - Elsevier
Abstract Machine learning (ML)(a subset of artificial intelligence that focuses on autonomous
computer knowledge gain) is actively being used across many domains, such as …

Archetypes of digital twins

H van der Valk, H Haße, F Möller, B Otto - Business & Information Systems …, 2022 - Springer
Abstract Currently, Digital Twins receive considerable attention from practitioners and in
research. A Digital Twin describes a concept that connects physical and virtual objects …

Hybrid learning-based digital twin for manufacturing process: Modeling framework and implementation

Z Huang, M Fey, C Liu, E Beysel, X Xu… - Robotics and Computer …, 2023 - Elsevier
Digital twin (DT) and artificial intelligence (AI) technologies are powerful enablers for
Industry 4.0 toward sustainable resilient manufacturing. Digital twins of machine tools and …

The interplay between data-driven decision-making and digitalization: A firm-level survey of the Italian and US automotive industries

R Colombari, A Geuna, S Helper, R Martins… - International Journal of …, 2023 - Elsevier
With the diffusion of information systems and new technologies for the real-time capturing of
data, especially in rapid technological and managerial innovation contexts such as the …

[HTML][HTML] Digital twin-enabled automated anomaly detection and bottleneck identification in complex manufacturing systems using a multi-agent approach

C Latsou, M Farsi, JA Erkoyuncu - Journal of Manufacturing Systems, 2023 - Elsevier
Digital twin (DT) models are increasingly being used to improve the performance of complex
manufacturing systems. In this context, DTs automatically enabling anomaly detection, such …