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 …

Machine learning and data mining in manufacturing

A Dogan, D Birant - Expert Systems with Applications, 2021 - Elsevier
Manufacturing organizations need to use different kinds of techniques and tools in order to
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …

[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 …

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 …

[HTML][HTML] 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 …

Application of digital technologies for sustainable product management in a circular economy: A review

M Rusch, JP Schöggl… - Business strategy and the …, 2023 - Wiley Online Library
Digital technologies (DTs), such as the Internet of Things, big data, artificial intelligence, or
blockchain, are considered as enablers for a more sustainable and circular economy. So far …

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] A review of industrial big data for decision making in intelligent manufacturing

C Li, Y Chen, Y Shang - … Science and Technology, an International Journal, 2022 - Elsevier
Under the trend of economic globalization, intelligent manufacturing has attracted a lot of
attention from academic and industry. Related enabling technologies make manufacturing …

Relationships between industry 4.0, sustainable manufacturing and circular economy: proposal of a research framework

S Bag, JHC Pretorius - International Journal of Organizational …, 2022 - emerald.com
Purpose The digital revolution has brought many challenges and opportunities for the
manufacturing firms. The impact of Industry 4.0 technology adoption on sustainable …

[HTML][HTML] Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities

M Seyedan, F Mafakheri - Journal of Big Data, 2020 - Springer
Big data analytics (BDA) in supply chain management (SCM) is receiving a growing
attention. This is due to the fact that BDA has a wide range of applications in SCM, including …