Digital twin modeling

F Tao, B Xiao, Q Qi, J Cheng, P Ji - Journal of Manufacturing Systems, 2022 - Elsevier
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 …

Big data analytics for intelligent manufacturing systems: A review

J Wang, C Xu, J Zhang, R Zhong - Journal of Manufacturing Systems, 2022 - Elsevier
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 …

Industry 4.0 enables supply chain resilience and supply chain performance

G Qader, M Junaid, Q Abbas, MS Mubarik - Technological Forecasting and …, 2022 - Elsevier
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 …

Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective

B Wang, P Zheng, Y Yin, A Shih, L Wang - Journal of Manufacturing …, 2022 - Elsevier
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 …

5G in digital supply chain and operations management: fostering flexibility, end-to-end connectivity and real-time visibility through internet-of-everything

A Dolgui, D Ivanov - International Journal of Production Research, 2022 - Taylor & Francis
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 …

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 …

Industry 4.0 and the circular economy: A literature review and recommendations for future research

U Awan, R Sroufe, M Shahbaz - Business Strategy and the …, 2021 - Wiley Online Library
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 …

Digital transformation and environmental sustainability: A review and research agenda

AK Feroz, H Zo, A Chiravuri - Sustainability, 2021 - mdpi.com
Digital transformation refers to the unprecedented disruptions in society, industry, and
organizations stimulated by advances in digital technologies such as artificial intelligence …

Deep learning-assisted smart process planning, robotic wireless sensor networks, and geospatial big data management algorithms in the internet of manufacturing …

G Lăzăroiu, M Andronie, M Iatagan… - … International Journal of …, 2022 - mdpi.com
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 …

Past, present, and future barriers to digital transformation in manufacturing: A review

MD Jones, S Hutcheson, JD Camba - Journal of Manufacturing Systems, 2021 - Elsevier
Research in digital transformation (DT) is burgeoning. Meanwhile, the COVID-19 pandemic
has not only influenced both day-to-day functions of firms dramatically, but also their efforts …