Digital Twin Tools for Smart Manufacturing: A Paradigm Shift for Industry 4.0

The convergence of digital twin (DT) technology with IoT-driven smart manufacturing is driving a paradigm shift in Industry 4.0 and beyond. By enabling real-time cyber-physical integration, data-centric decision-making, and closed-loop optimization, digital twins are becoming central to the evolution of manufacturing systems. This perspective paper explores foundational concepts, emerging trends, and the market trajectory of DTs in manufacturing. We provide insights into the landscape of current tools and platforms supporting digital twin development, highlighting their capabilities and limitations. We also discuss the role, practical challenges, and future opportunities of the ISO 23247 standard in supporting interoperable and scalable digital twin frameworks in manufacturing. Finally, we discuss case studies with practical implementations, emphasizing the need for higher autonomy, AI-enabled predictive analytics, robust lifecycle governance, and resilience in next-generation manufacturing ecosystems.

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Publication Details

Journal
IEEE Open Journal of the Industrial Electronics Society
Published
2025-01-01
DOI
https://doi.org/10.1109/ojies.2025.3628531
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
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article

Digital Twin Tools for Smart Manufacturing: A Paradigm Shift for Industry 4.0

Md Rafiul Kabir, Sandip Ray
IEEE Open Journal of the Industrial Electronics Society
Digital Transformation in Industry
article

Digital Twin Tools for Smart Manufacturing: A Paradigm Shift for Industry 4.0

Md Rafiul Kabir, Sandip Ray
article en

Abstract

The convergence of digital twin (DT) technology with IoT-driven smart manufacturing is driving a paradigm shift in Industry 4.0 and beyond. By enabling real-time cyber-physical integration, data-centric decision-making, and closed-loop optimization, digital twins are becoming central to the evolution of manufacturing systems. This perspective paper explores foundational concepts, emerging trends, and the market trajectory of DTs in manufacturing. We provide insights into the landscape of current tools and platforms supporting digital twin development, highlighting their capabilities and limitations. We also discuss the role, practical challenges, and future opportunities of the ISO 23247 standard in supporting interoperable and scalable digital twin frameworks in manufacturing. Finally, we discuss case studies with practical implementations, emphasizing the need for higher autonomy, AI-enabled predictive analytics, robust lifecycle governance, and resilience in next-generation manufacturing ecosystems.

IEEE Open Journal of the Industrial Electronics SocietyVol. 6
Central Michigan University (US), University of Florida (US)
Openalex Percentile: Top 55%
Digital Transformation in Industry
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