The role of ai, machine learning, and big data in digital twinning: A systematic literature review, challenges, and opportunities

MM Rathore, SA Shah, D Shukla, E Bentafat… - IEEE …, 2021 - ieeexplore.ieee.org
Digital twinning is one of the top ten technology trends in the last couple of years, due to its
high applicability in the industrial sector. The integration of big data analytics and artificial …

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

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 …

Big data analytics-artificial intelligence and sustainable performance through green supply chain practices in manufacturing firms of a develo** country

A Rashid, N Baloch, R Rasheed… - Journal of Science and …, 2025 - emerald.com
Purpose This study aims to examine the role of big data analytics (BDA) powered by artificial
intelligence (AI) in improving sustainable performance (SP) through green supply chain …

[HTML][HTML] Digital twin and big data-driven sustainable smart manufacturing based on information management systems for energy-intensive industries

S Ma, W Ding, Y Liu, S Ren, H Yang - Applied energy, 2022 - Elsevier
Abstract Internet of Things (IoT) technology, which has made manufacturing processes more
smart, efficient and sustainable, has received increasing attention from the industry and …

Big data application, factor allocation, and green innovation in Chinese manufacturing enterprises

Q Gao, C Cheng, G Sun - Technological Forecasting and Social Change, 2023 - Elsevier
Green innovation is key to promoting the manufacturing industry's green development and
transformation. One way to promote green innovation in manufacturing enterprises can be …

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 …

[HTML][HTML] Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems

AK Sleiti, JS Kapat, L Vesely - Energy Reports, 2022 - Elsevier
The complex future power plants require digital twin (DT) architecture to achieve high
reliability, availability and maintainability at lower cost. The available research on DT for …

Towards more reliable photovoltaic energy conversion systems: A weakly-supervised learning perspective on anomaly detection

Z Chang, K Jia, T Han, YM Wei - Energy Conversion and Management, 2024 - Elsevier
With the increasing popularity of photovoltaic (PV) systems, both academia and industry
have been paying growing attention to fault prediction and health management. Although …

[HTML][HTML] Industry 4.0 and cleaner production: A comprehensive review of sustainable and intelligent manufacturing for energy-intensive manufacturing industries

S Ma, W Ding, Y Liu, Y Zhang, S Ren, X Kong… - Journal of Cleaner …, 2024 - Elsevier
Under the promotion of sustainable development goals, cleaner production (CP) has
become an important strategy for energy-intensive manufacturing industries to maintain their …

A big data-driven framework for sustainable and smart additive manufacturing

A Majeed, Y Zhang, S Ren, J Lv, T Peng… - Robotics and Computer …, 2021 - Elsevier
From the last decade, additive manufacturing (AM) has been evolving speedily and has
revealed the great potential for energy-saving and cleaner environmental production due to …