LAPSE:2024.1511
Published Article

LAPSE:2024.1511
Towards 3-fold sustainability in biopharmaceutical process development and product distribution
August 15, 2024. Originally submitted on July 9, 2024
The (bio-)pharmaceutical industry is facing crossroads in an effort to ramp up its global capacity, while working to meet net-zero targets and to ensure continuous drug supply. Beyond geopolitical challenges faced worldwide, (bio-)pharmaceutical processes have been historically very complex to design, optimise and integrate in a global distribution network that is resilient and adaptable to changes. In this paper we offer a perspective of how Process Systems Engineering (PSE) tools can support and advance (bio-)pharma practices with an outlook towards 3-fold sustainability. The latter is considering three main pillars, namely social (drug supply), economical and environmental sustainability. We discuss PSE contributions that have revolutionised process design in this space, as well as the optimisation of distributions networks in pharmaceuticals. We do this by means of example cases: one on model-based unit operation design and a second one on sustainable supply chain networks in the space of advanced therapeutics. As such, this contribution offers a perspective on how PSE methodologies can offer a systematic way to integrate social, environmental, and economical sustainability throughout process design and product distribution.
Record ID
Keywords
Biosystems, Dynamic Modelling, Industry 40, Machine Learning, Process Design, Renewable and Sustainable Energy, Supply Chain
Subject
Suggested Citation
Sarkis M, Sachio S, Shah N, Kontoravdi C, Papathanasiou MM. Towards 3-fold sustainability in biopharmaceutical process development and product distribution. Systems and Control Transactions 3:75-83 (2024) https://doi.org/10.69997/sct.141233
Author Affiliations
Sarkis M: Sargent Centre for Process Systems Engineering, Imperial College London, SW7 2AZ, UK; Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ
Sachio S: Sargent Centre for Process Systems Engineering, Imperial College London, SW7 2AZ, UK; Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ
Shah N: Sargent Centre for Process Systems Engineering, Imperial College London, SW7 2AZ, UK; Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ
Kontoravdi C: Sargent Centre for Process Systems Engineering, Imperial College London, SW7 2AZ, UK; Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ
Papathanasiou MM: Sargent Centre for Process Systems Engineering, Imperial College London, SW7 2AZ, UK; Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ
Sachio S: Sargent Centre for Process Systems Engineering, Imperial College London, SW7 2AZ, UK; Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ
Shah N: Sargent Centre for Process Systems Engineering, Imperial College London, SW7 2AZ, UK; Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ
Kontoravdi C: Sargent Centre for Process Systems Engineering, Imperial College London, SW7 2AZ, UK; Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ
Papathanasiou MM: Sargent Centre for Process Systems Engineering, Imperial College London, SW7 2AZ, UK; Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ
Journal Name
Systems and Control Transactions
Volume
3
First Page
75
Last Page
83
Year
2024
Publication Date
2024-07-10
Version Comments
DOI Assigned
Other Meta
PII: 0075-0083-680068-SCT-3-2024, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2024.1511
This Record
External Link

https://doi.org/10.69997/sct.141233
Article DOI
Download
Meta
Links to Related Works