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 …
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 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 …
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 …
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 …
Abstract Currently, Digital Twins receive considerable attention from practitioners and in research. A Digital Twin describes a concept that connects physical and virtual objects …
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 …
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 …
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 …