Digital Twin Technologies For Smart Manufacturing Systems

Authors

  • Farhan Ahmed Department of Software Engineering,University of the Punjab, Lahore, Pakistan Author

DOI:

https://doi.org/10.71465/mrcis183

Keywords:

Digital Twin, Smart Manufacturing, Industry 4.0, Cyber–Physical Systems

Abstract

Digital Twin (DT) technology has emerged as a cornerstone of Industry 4.0, enabling real-time mapping of physical manufacturing systems into intelligent virtual representations. Through continuous data integration, simulation, and predictive analytics, digital twins improve system efficiency, reduce downtime, and enhance product quality. This article provides a comprehensive examination of DT frameworks, architectures, and applications within smart manufacturing environments. It explores key components—including IoT sensors, data pipelines, AI-driven predictive models, and cyber–physical integration. Two graphs illustrate the rising adoption of DT technologies and the productivity improvements achieved in manufacturing operations. The study concludes with challenges related to interoperability, cybersecurity risks, data standardization, and future opportunities, including autonomous factories and AI-enhanced DT ecosystems.

References

Ahmad, N. R. (2025). AI-enabled public governance in developing states: Service delivery gains, accountability risks, and a practical risk-based regulatory model. https://doi.org/10.52152/wja5db40

Irk, E. (2025). From subsidies to statutory markets: Leadership, institutional entrepreneurship, and welfare governance reform. https://doi.org/10.52152/s59sjh53

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Published

2025-12-31

Issue

Vol. 5 No. 12 (2025): Multidisciplinary Research in Computing Information Systems

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

All articles published in the Multidisciplinary Research in Computing Information Systems are licensed under an open-access model. Authors retain full copyright and grant the journal the right of first publication. The content can be freely accessed, distributed, and reused for non-commercial purposes, provided proper citation is given to the original work.