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Simulation-based process analysis and optimization for continuous pharmaceutical manufacturing
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Wang, Zilong. Simulation-based process analysis and optimization for continuous pharmaceutical manufacturing. Retrieved from https://doi.org/doi:10.7282/T3736VD9

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TitleSimulation-based process analysis and optimization for continuous pharmaceutical manufacturing
NameWang, Zilong (author); Ierapetritou, Marianthi G. (chair); Androulakis, Ioannis (internal member); Ramachandran, Rohit (internal member); Rogers, Amanda (outside member); Rutgers University; School of Graduate Studies
Date Created2018
Other Date2018-05 (degree)
SubjectChemical and Biochemical Engineering, Pharmaceutical industry, Manufacturing processes
Extent1 online resource (xviii, 291 p. : ill.)
DescriptionThis thesis explores to apply simulation-based mathematical tools to understand and improve continuous pharmaceutical manufacturing processes. On the basis of a continuous direct compaction process, we propose a framework consisting of global sensitivity analysis, feasibility analysis, and optimization to systematically extract process knowledge from simulation models. Under this framework, efficient analysis and optimization methods have been developed for both deterministic systems and stochastic systems. Specifically, mathematical techniques including surrogate modeling and adaptive sampling are adopted to address difficult problems involving computationally expensive black-box systems. The developed algorithms in this thesis can be used to obtain a comprehensive knowledge of solids-based pharmaceutical processes.
NotePh.D.
NoteIncludes bibliographical references
Noteby Zilong Wang
Genretheses, ETD doctoral
Persistent URLhttps://doi.org/doi:10.7282/T3736VD9
Languageeng
CollectionSchool of Graduate Studies Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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