Review on Digital Twin in Pharmaceutical and Biopharmaceutical Manufacturing

Kamini Ghavat; Swati Wakchoure; Pooja Surve; Nishita Hole

doi:10.32628/IJSRST241161127

Authors

Kamini Ghavat Student, Shivajirao S. Jondhle College of Pharmacy, Asangaon, Thane, Maharashtra, India Author
Swati Wakchoure Assistant Professor, Department of Pharmacognosy & Quality Assurance, Shivajirao S. Jondhle College of Pharmacy, Maharashtra, India Author
Pooja Surve Assistant Professor, Department of Pharmacognosy & Quality Assurance, Shivajirao S. Jondhle College of Pharmacy, Maharashtra, India Author
Nishita Hole Student, Shivajirao S. Jondhle College of Pharmacy, Asangaon, Thane, Maharashtra, India Author

DOI:

https://doi.org/10.32628/IJSRST241161127

Keywords:

digital twin, Industry 4.0, pharmaceutical manufacturing, biopharmaceutical manufacturing, process modeling

Abstract

The rise of Industry 4.0 technologies fosters the creation and use of digital twins (DT), which aids in transforming the manufacturing sector into a more responsive and intelligent domain. DTs are digital replicas of physical systems that emulate the behavior and dynamics of those systems. A comprehensive DT integrates physical elements, virtual components, and the data exchange between them. Integrated DTs are being utilized across various processes and product sectors. Although the pharmaceutical industry has recently progressed by adopting Quality-by-Design (QbD) initiatives and is in the midst of a digital transformation to integrate Industry 4.0, there has yet to be a complete DT implementation in pharmaceutical manufacturing. Consequently, it is essential to evaluate the advancements of the pharmaceutical sector in adopting DT solutions. This narrative literature review aims to provide an overview of the current state of DT development and its application in pharmaceutical and biopharmaceutical production. Additionally, it addresses the challenges and opportunities for future research in this area.

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References

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