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Control systems engineering in continuous pharmaceutical manufacturing. May 20-21, 2014 Continuous Manufacturing
Allan S Myerson1, Markus Krumme, Moheb Nasr
1Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139.
Journal of Pharmaceutical Sciences
|December 30, 2014
Summary
Control systems engineering is crucial for continuous pharmaceutical manufacturing to ensure drug quality. Key challenges include process monitoring, integration, and risk analysis for robust production.
Area of Science:
- Chemical Engineering
- Process Control
- Pharmaceutical Manufacturing
Background:
- Continuous manufacturing offers advantages over batch processing in pharmaceutical production.
- Effective control systems are essential for ensuring drug product quality and process efficiency.
- Existing challenges in continuous pharmaceutical processing require advancements in control systems engineering.
Purpose of the Study:
- To outline challenges, research needs, and future directions for control systems engineering in continuous pharmaceutical processing.
- To facilitate the development and deployment of control systems technologies for ensuring drug product quality.
- To address the specific needs of small-molecule and biological drug product manufacturing.
Main Methods:
- Discussion of current status and technical needs in process monitoring, control, systems integration, and risk analysis.
- Exploration of direct measurement, model-based predictions (first-principles and empirical), and design space approaches.
- Analysis of strategies for universities, regulatory bodies, and industry to overcome barriers.
Main Results:
- Continuous manufacturing success relies on meeting critical quality attributes (CQAs), not just steady-state operation.
- Start-up/shutdown procedures and material traceability (using residence time distributions) significantly impact economic viability.
- Control systems must ensure quality amidst disturbances, dynamics, uncertainties, nonlinearities, and constraints.
Conclusions:
- Collaboration between industry, academia, and regulatory bodies is vital for advancing control systems in continuous drug manufacturing.
- Increased federal funding, university-industry partnerships, and regulatory clarity are needed to foster innovation.
- Enhanced training and development of control systems engineering expertise are crucial for successful implementation.
Keywords:
analysiscontrol systemsdynamic simulationmanufacturingmathematical modelmultivariate analysisprocess analytical technologyprocessingquality by designsystems integrationMore Related Videos
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