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Proceedings of FOCAPD 2024ISSN: 2818-4734
Volume: 3 (2024)
Table of Contents
LAPSE:2024.1510v1
Published Article
LAPSE:2024.1510v1
Towards the Development of Digital Twin for Pharmaceutical Manufacturing
Katherine Raudenbush, Nikola Malinov, Jayanth V. Reddy, Chaoying Ding, Huayu Tian, Marianthi Ierapetritou
July 9, 2024
Abstract
Pharma 4.0 has continued to advance as the industry develops advances in process analytical technologies, automation, and digit-ization. Digital twins which transform on-line process measure-ments into meaningful outputs in real-time are being developed to seize the opportunity made possible with this shift. Digital twins can be used for improved process optimization on a range of scales, from determining optimal metabolite concentrations in upstream bioreactors to considering economic and environmental impacts of process decisions. In this paper, we explore the current uses of digital twins in solid-based pharmaceutical space and the bio-pharmaceutical manufacturing. Applications cover scale up of upstream processes, product quality control, and consideration of continuous systems. We also describe the intersection of digital twins in flow sheet modeling, sensitivity analysis and optimization, and design space evaluation. Finally, areas requiring further im-provement for industry adoption are addressed.
Keywords
Biopharmaceutical manufacturing, Digital twin, Pharmaceutical manufacturing, Process Modeling
Suggested Citation
Raudenbush K, Malinov N, Reddy JV, Ding C, Tian H, Ierapetritou M. Towards the Development of Digital Twin for Pharmaceutical Manufacturing. Systems and Control Transactions 3:135296 (2024)
Author Affiliations
Raudenbush K: University of Delaware, Department of Chemical & Biomolecular Engineering, Newark, DE, USA
Malinov N: University of Delaware, Department of Chemical & Biomolecular Engineering, Newark, DE, USA
Reddy JV: University of Delaware, Department of Chemical & Biomolecular Engineering, Newark, DE, USA
Ding C: University of Delaware, Department of Chemical & Biomolecular Engineering, Newark, DE, USA
Tian H: University of Delaware, Department of Chemical & Biomolecular Engineering, Newark, DE, USA
Ierapetritou M: University of Delaware, Department of Chemical & Biomolecular Engineering, Newark, DE, USA
Journal Name
Systems and Control Transactions
Volume
3
First Page
135296
Year
2024
Publication Date
2024-07-10
Version Comments
Original Submission
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PII: 0067-0074-680032-SCT-3-2024, Publication Type: Journal Article
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LAPSE:2024.1510v1
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https://doi.org/10.69997/sct.135296
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Jul 9, 2024
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Jul 9, 2024
 
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