基于模型的连续制药实时优化

IF 3.9 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Chemical Engineering Pub Date : 2024-11-09 DOI:10.1016/j.compchemeng.2024.108915
Hazem Damiri , Martin Steinberger , Lisa Kuchler , Atabak Azimi , Stefano Martinuzzi , Peter Sagmeister , Jason D. Williams , Stefan Koch , Markus Tranninger , Jakob Rehrl , Selma Celikovic , Stephan Sacher , C. Oliver Kappe , Martin Horn
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引用次数: 0

摘要

本研究提出了实时优化(RTO)方案,并将其应用于由合成单元、热熔挤出单元和直接压制生产线三个单元组成的连续制药过程。所开发的 RTO 策略在满足特定约束条件的同时,通过优化所考虑的目标函数来计算运行条件。此外,RTO 方案还能应对流程中的有意变化和非有意变化(如干扰)。本文介绍了模拟和实验结果。在使用所开发的方案时,可以获得良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Model-based real-time optimization in continuous pharmaceutical manufacturing
In this work, real-time optimization (RTO) schemes are proposed and applied on a continuous pharmaceutical manufacturing process which consists of three units: synthesis unit, hot melt extrusion unit and direct compaction line. The developed RTO strategies calculate the operating conditions by optimizing the considered objective functions while satisfying the specific constraints. Moreover, the RTO schemes can cope with intentional changes in the process and unintentional changes such as disturbances. Results from simulations and experiments are presented in this work. An advantageous performance is achieved when using the developed schemes.
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来源期刊
Computers & Chemical Engineering
Computers & Chemical Engineering 工程技术-工程:化工
CiteScore
8.70
自引率
14.00%
发文量
374
审稿时长
70 days
期刊介绍: Computers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems.
期刊最新文献
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