Automating Biopharma Manufacturing

"With the advance of data science enabling factors such as easy access to scalable memory and computing resources; our growing competence in collecting, storing, and contextualizing data; advances in robotics; [and] the quickly evolving method landscape driven by the open-source community, the...

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Bibliographic Details
Published in:Pharmaceutical technology Europe 2022-07, Vol.34 (7), p.15-17
Main Author: Markarian, Jennifer
Format: Article
Language:English
Subjects:
Artificial intelligence
Automation
Batch processing
Digital technology
Digital twins
Good Manufacturing Practice
Human error
Knowledge management
Life sciences
Manufacturers
Manufacturing
Predictive analytics
Process controls
Product quality
Productivity
Sensors
Software services
Technology transfer
Vaccines
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Summary:"With the advance of data science enabling factors such as easy access to scalable memory and computing resources; our growing competence in collecting, storing, and contextualizing data; advances in robotics; [and] the quickly evolving method landscape driven by the open-source community, the benefits of automation and simulation are becoming accessible in the notoriously complicated realm of biopharma manufacturing," says Marcel von der Haar, head of product strategy data analytics at Sartorius. "Plug-and-play" capabilities of automation systems, which enable flexible manufacturing and faster technology transfer, are more important than ever, he says. Walvax Biotech's new COVID-19 mRNA vaccine plant in China is another example of an intelligent and digital plant; it uses Honeywell's batch process control, building and energy management solution systems, and digital twins to monitor assets (5). "Automation brings in the data for machine learning to model the dynamic processes of cell growth and map it against the multiple dimensions provided by advanced sensors," explains Brandl.
ISSN:1753-7967