Digital twin modeling
The digital twin is an emerging and vital technology for digital transformation and intelligent
upgrade. Driven by data and model, the digital twin can perform monitoring, simulation …
upgrade. Driven by data and model, the digital twin can perform monitoring, simulation …
Machine learning and deep learning based predictive quality in manufacturing: a systematic review
With the ongoing digitization of the manufacturing industry and the ability to bring together
data from manufacturing processes and quality measurements, there is enormous potential …
data from manufacturing processes and quality measurements, there is enormous potential …
Industry 4.0 enables supply chain resilience and supply chain performance
Drawing on information processing theory and resource-based view (RBV), this study
examines the impact of industry 4.0 on supply chain performance (SCP). The study also …
examines the impact of industry 4.0 on supply chain performance (SCP). The study also …
Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective
Advances in human-centric smart manufacturing (HSM) reflect a trend towards the
integration of human-in-the-loop with technologies, to address challenges of human …
integration of human-in-the-loop with technologies, to address challenges of human …
Big data analytics for intelligent manufacturing systems: A review
With the development of Internet of Things (IoT), 5 G, and cloud computing technologies, the
amount of data from manufacturing systems has been increasing rapidly. With massive …
amount of data from manufacturing systems has been increasing rapidly. With massive …
5G in digital supply chain and operations management: fostering flexibility, end-to-end connectivity and real-time visibility through internet-of-everything
5G technology enables end-to-end connectivity in real time at a highly granular level along
with the associated end-to-end visibility through the Internet-of-Everything. While some …
with the associated end-to-end visibility through the Internet-of-Everything. While some …
Deep learning-assisted smart process planning, robotic wireless sensor networks, and geospatial big data management algorithms in the internet of manufacturing …
The purpose of our systematic review is to examine the recently published literature on the
Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep …
Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep …
Industry 4.0 and the circular economy: A literature review and recommendations for future research
Abstract Research regarding the Fourth Industrial Revolution (Industry 4.0) and the circular
economy has gained traction since 2014. Paralleling the growth in the internet of things …
economy has gained traction since 2014. Paralleling the growth in the internet of things …
High-performance manufacturing
GUO Dongming - International Journal of Extreme Manufacturing, 2024 - iopscience.iop.org
The increasing demand for high-end equipment in crucial sectors such as aerospace,
aeronautics, energy, power, information and electronics continues growing. However, the …
aeronautics, energy, power, information and electronics continues growing. However, the …
Review of digital twin about concepts, technologies, and industrial applications
M Liu, S Fang, H Dong, C Xu - Journal of manufacturing systems, 2021 - Elsevier
Various kinds of engineering software and digitalized equipment are widely applied through
the lifecycle of industrial products. As a result, massive data of different types are being …
the lifecycle of industrial products. As a result, massive data of different types are being …