Hybrid rule‐based and optimization‐driven framework for the synthesis of end‐to‐end optimal pharmaceutical processes

The modernization of pharmaceutical manufacturing is driving a shift from traditional batch processing to continuous alternatives. Synthesizing end‐to‐end optimal (E2EO) manufacturing routes is crucial for the pharmaceutical industry, especially when considering multiple operating modes—such as batc...

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Veröffentlicht in:AIChE journal Jg. 71; H. 9
Hauptverfasser: Barhate, Yash, Laky, Daniel J., Casas‐Orozco, Daniel, Reklaitis, Gintaras V., Nagy, Zoltan K.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 01.09.2025
American Institute of Chemical Engineers
Schlagworte:
Batch processing
Cancer therapies
Industry 4.0
Manufacturing
modeling and simulation
Modernization
Optimization
Pharmaceutical industry
pharmaceutical manufacturing
Pharmaceuticals
process synthesis
simulation‐based optimization
superstructure synthesis
Superstructures
Sustainable production
Synthesis
ISSN:0001-1541, 1547-5905
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Zusammenfassung:The modernization of pharmaceutical manufacturing is driving a shift from traditional batch processing to continuous alternatives. Synthesizing end‐to‐end optimal (E2EO) manufacturing routes is crucial for the pharmaceutical industry, especially when considering multiple operating modes—such as batch, continuous, or hybrid (containing both batch and continuous steps). A major challenge is the ability to compare these manufacturing alternatives across different operating modes, hindering optimal superstructure synthesis. To bridge this gap, this study introduces a hierarchical framework for the synthesis of E2EO manufacturing routes, employing a hybrid rule‐based and optimization‐driven approach. This method optimizes flowsheets modeled using PharmaPy through a simulation‐optimization technique with modest computational requirements. The effectiveness of the proposed framework is demonstrated through a case study on the manufacturing of the cancer therapy drug Lomustine. Two distinct manufacturing scenarios are analyzed to generate E2EO manufacturing campaigns tailored to the specific chemistries and process configurations, considering process efficiency and sustainable manufacturing.
Bibliographie:ObjectType-Article-1
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content type line 14
ISSN:0001-1541
1547-5905
DOI:10.1002/aic.18888