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From feasibility to resilience: Design space identification under evolving requirements

https://doi.org/10.2139/ssrn.7168302
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Pharmaceutical Quality by Design: Product and Process Development, Understanding, and Control
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Adaptive framework for data-driven probabilistic design space identification
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A model-based approach towards accelerated process development: A case study on chromatography
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Computer-aided design space identification for screening of protein A affinity chromatography resins
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Machine learning enhanced process design in protein a chromatography
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Evolution of concepts and models for quantifying resiliency and flexibility of chemical processes
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Constrained global sensitivity analysis for bioprocess design space identification
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Computationally efficient identification of probabilistic design spaces through application of metamodeling and adaptive sampling
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A novel framework for the identification of complex feasible space
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Digital design of crystallization processes using statistical machine learning
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Quality by digital design to accelerate sustainable medicines development
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Quality by Design for enabling RNA platform production processes
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Plantwide control: the search for the self-optimizing control structure
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Convex Optimization
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A Dynamic and Probabilistic Design Space Determination Method for Mesenchymal Stem Cell Cultivation Processes
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Bracketing the Design Space within the Knowledge Space in Pharmaceutical Product Development
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A Comparative Study of Strategies for Incorporating Uncertainty in Design Space Determination for Pharmaceutical Manufacturing
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Bayesian Approach to Probabilistic Design Space Characterization: A Nested Sampling Strategy
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Definition of Design Spaces Using Mechanistic Models and Geometric Projections of Probability Maps
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Quality cell therapy manufacturing by design
inferredcites →https://doi.org/10.1038/nbt0109-26openalex-snapshot
Quality by design for biopharmaceuticals
inferredcites →https://doi.org/10.1080/03639045.2020.1742140openalex-snapshot
Step-wise approach to developing a scale-independent design space for functional tablet coating process
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An Investigation of Nonlinearity of Reliability-Based Design Optimization Approaches
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Understanding Pharmaceutical Quality by Design
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Quality by Design Integration of Design of Experiments for Tablet Formulation Optimization and Process Validation
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Novel method to construct large-scale design space in lubrication process utilizing Bayesian estimation based on a small-scale design-of-experiment and small sets of large-scale manufacturing data
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Probabilistic design spaces from small DoEs – A boundary-focused workflow using quantile surrogates
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