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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 2 (February 2026).... Submit articles

Advancing Industrial IoT and Industry 4.0 through Digital Twin Technologies: A comprehensive framework for intelligent manufacturing, real-time analytics and predictive maintenance

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  • Advancing Industrial IoT and Industry 4.0 through Digital Twin Technologies: A comprehensive framework for intelligent manufacturing, real-time analytics and predictive maintenance

Ankush Keskar *

Independent Researcher, USA.

Review Article

 

World Journal of Advanced Engineering Technology and Sciences, 2025, 14(01), 228-240

Article DOI: 10.30574/wjaets.2025.14.1.0019

DOI url: https://doi.org/10.30574/wjaets.2025.14.1.0019

Received on 14 December 2024; revised on 23 January 2025; accepted on 26 January 2025

Digital Twin technology is advancing industries with an increasing ability to monitor dynamic systems, structures, operating processes, and assets in detail and in real-time. Key to Industry 4.0, Digital Twins allow the creation of virtual representations of actual settings, thus enabling analytical processing, prognosis, and management enhancement. To explain what Digital Twins are and their capabilities, this paper aims to identify their importance in intelligent manufacturing, real-time analysis, and maintenance predictions. It also describes the issues arising from Digital Twins implementation, including technical issues, data security, and change resistance, and offers ways of addressing these challenges. The further development of Digital Twin technology, other fields of AI, 5G, extensive technologies, and sustainability are also discussed in detail in the sequence. Finally, it has been found that Digital Twins are set to become the driving force of the subsequent industrial revolution based on improved, optimized, and environmentally friendly processes. 

Digital Twin; Industry 4.0; Intelligent manufacturing; Real-time analytics; Predictive maintenance; IoT; AI; Machine learning

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2025-0019.pdf

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Ankush Keshar. Advancing Industrial IoT and Industry 4.0 through Digital Twin Technologies: A comprehensive framework for intelligent manufacturing, real-time analytics and predictive maintenance. World Journal of Advanced Engineering Technology and Sciences, 2025, 14(01), 228-240. Article DOI: https://doi.org/10.30574/wjaets.2025.14.1.0019.

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