[HTML][HTML] Internet of things for smart factories in industry 4.0, a review

M Soori, B Arezoo, R Dastres - Internet of Things and Cyber-Physical …, 2023 - Elsevier
Abstract The Internet of Things (IoT) is playing a significant role in the transformation of
traditional factories into smart factories in Industry 4.0 by using network of interconnected …

Review of intelligence for additive and subtractive manufacturing: current status and future prospects

MA Rahman, T Saleh, MP Jahan, C McGarry… - Micromachines, 2023 - mdpi.com
Additive manufacturing (AM), an enabler of Industry 4.0, recently opened limitless
possibilities in various sectors covering personal, industrial, medical, aviation and even …

The impact of dynamic capabilities on circular economy: the mediating effect of the industrial Internet of things

A AL-Khatib - Journal of Manufacturing Technology Management, 2023 - emerald.com
Purpose The current study aimed to identify the impact of the dynamic capabilities on the
circular economy in Jordan's small-and medium-sized manufacturing enterprises sector as …

Weld quality monitoring via machine learning-enabled approaches

A Raj, U Chadha, A Chadha, RR Mahadevan… - International Journal on …, 2023 - Springer
Welding Engineering is one of the most integral parts of manufacturing engineering, which
involves joining two different materials via various types of processes. Complexities in …

Analysis of the relationship among Industry 4.0 technologies, sustainable manufacturing practices and organizational sustainable performance using structural …

N Harikannan, S Vinodh, J Antony - The TQM Journal, 2023 - emerald.com
Purpose The purpose of this study is to discuss the construction of a structural measurement
model utilizing structural equation modelling (SEM) to confirm the link between Industry 4.0 …

Powder Bed Fusion via Machine Learning‐Enabled Approaches

U Chadha, SK Selvaraj, AS Abraham, M Khanna… - …, 2023 - Wiley Online Library
Powder bed fusion (PBF) applies to various metallic materials used in the metal printing
process of building a wide range of complex parts compared to other AM technologies. PBF …

Green manufacturing via machine learning enabled approaches

A Raj, A Gyaneshwar, U Chadha, A Chadha… - International Journal on …, 2022 - Springer
Inefficient production policies and practices have led to unprecedented wastages within
various manufacturing domains. This unprecedented wastage and environmental …

[HTML][HTML] Machine learning applications on IoT data in manufacturing operations and their interpretability implications: A systematic literature review

A Presciuttini, A Cantini, F Costa… - Journal of Manufacturing …, 2024 - Elsevier
Industry 4.0 has transformed manufacturing with real-time plant data collection across
operations and effective analysis is crucial to unlock the full potential of Internet-of-Things …

Large scale foundation models for intelligent manufacturing applications: a survey

H Zhang, SS Dereck, Z Wang, X Lv, K Xu, L Wu… - arXiv preprint arXiv …, 2023 - arxiv.org
Although the applications of artificial intelligence especially deep learning had greatly
improved various aspects of intelligent manufacturing, they still face challenges for wide …

A smart manufacturing ecosystem for industry 5.0 using cloud-based collaborative learning at the edge

S Javed, S Javed, J van Deventer… - NOMS 2023-2023 …, 2023 - ieeexplore.ieee.org
In the modern manufacturing industry, collaborative architectures are growing in popularity.
We propose an Industry 5.0 value-driven manufacturing process automation ecosystem in …