Machine learning applications for sustainable manufacturing: a bibliometric-based review for future research

A Jamwal, R Agrawal, M Sharma, A Kumar… - Journal of Enterprise …, 2022 - emerald.com
Purpose The role of data analytics is significantly important in manufacturing industries as it
holds the key to address sustainability challenges and handle the large amount of data …

AIoT for sustainable manufacturing: Overview, challenges, and opportunities

A Matin, MR Islam, X Wang, H Huo, G Xu - Internet of Things, 2023 - Elsevier
The integration of IoT and AI has gained significant attention as an emerging means to
digitize manufacturing industries and drive sustainability in the context of Industry 4.0. In …

[HTML][HTML] An integrated outlook of Cyber–Physical Systems for Industry 4.0: Topical practices, architecture, and applications

M Javaid, A Haleem, RP Singh, R Suman - Green Technologies and …, 2023 - Elsevier
Industry 4.0 requires a strong understanding of Cyber–Physical Systems (CPS). An Industry
4.0-enabled manufacturing environment that offers real-time data gathering, transparency …

Artificial intelligence and cyber-physical systems: A review and perspectives for the future in the chemical industry

LMC Oliveira, R Dias, CM Rebello, MAF Martins… - AI, 2021 - mdpi.com
Modern society is living in an age of paradigm changes. In part, these changes have been
driven by new technologies, which provide high performance computing capabilities that …

Can Industry 4.0 revolutionize the Wave of green finance adoption: A bibliometric analysis

S Bhatnagar, D Sharma, S Agrawal - Recent Advances in Smart …, 2021 - Springer
Industry 4.0 practices are the composite of efficient industrial operations and innovations in
technology through automation of processing. Whereas, the green finance is the approach …

Industry 4.0 and sustainable manufacturing: A bibliometric based review

A Jamwal, R Agrawal, M Sharma, VK Manupati… - Recent Advances in …, 2021 - Springer
With the arrival of the fourth industrial revolution overall transformation in industries using
intelligent manufacturing engineering and digital transformation has changed the production …

[HTML][HTML] Framework for enhancing the operational resilience of cyber-manufacturing systems against cyber-attacks

C Espinoza-Zelaya, YB Moon - Manufacturing Letters, 2023 - Elsevier
Cyber-manufacturing systems (CMS) are interconnected production environments
composed of complex and networked cyber-physical systems (CPS) that can be instantiated …

A guideline to implement a CPS architecture in an SME

JR Piat, C Danjou, B Agard… - Production & …, 2023 - Taylor & Francis
ABSTRACT In Industry 4.0 context, data valorisation allows industries to develop new
capabilities, create competitive advantages and achieve manufacturing sustainability, but …

Deep-learning-based cyber-physical system framework for real-time industrial operations

V Maru, S Nannapaneni, K Krishnan, A Arishi - Machines, 2022 - mdpi.com
Automation in the industry can improve production efficiency and human safety when
performing complex and hazardous tasks. This paper presented an intelligent cyber …

Taxonomy of severity of cyber-attacks in cyber-manufacturing systems

C Espinoza-Zelaya, Y Moon - ASME …, 2022 - asmedigitalcollection.asme.org
Increasingly named as the number one non-traditional risk cyber-attacks against Cyber-
manufacturing Systems (CMS) can cause a wide variety of losses. As the 4th industrial …