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August 25, 2025Journal of Artificial Intelligence & Cloud Computing

A Comprehensive Review on Digital Twin Integration in Smart Manufacturing Technologies, Challenges, and Future Trends

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Authors

AKAkash Abaji KadamHTHimanshu ThakerRGRajesh Gundeti

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Overview

This review explores digital twin integration in smart manufacturing, highlighting challenges and trends in IoT and AI.

Key Points

  • Digital twin technology enhances real-time coordination between physical assets and their virtual replicas, improving production efficiency.
  • The review evaluates the latest trends in digital twin applications across key sectors including automotive and aerospace manufacturing.
  • Assessment covers enabling technologies such as IoT, artificial intelligence, and cyber-physical systems that support digital twin implementation.
  • The conclusion addresses research gaps and suggests future directions for secure and intelligent digital twin deployment in manufacturing.

Cite This Study

Kadam et al. (2025) studied this question.

synapsesocial.com/papers/68af5d75ad7bf08b1eae1263https://doi.org/10.47363/jaicc/2025(4)470
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Digital Twins in Manufacturing: A Survey of Current Practices and Future Trends2024 · 18 citations
  2. 2Digital Twin in Industry: State-of-the-Art2019 · 4,323 citations
  3. 3Digital Twin Technology in the Era of Industry 4.0: Architecture, Applications, Challenges, and Future Directions2026
  4. 4Production digital twin: a systematic literature review of challenges2024 · 17 citations
  5. 5Impact of Digital Twins on Real Practices in Manufacturing Industries2025