设计质量
关键质量属性
生化工程
计算机科学
过程(计算)
质量(理念)
制造工艺
工艺设计
制造工程
工程类
工艺工程
系统工程
材料科学
复合材料
哲学
操作系统
下游(制造业)
认识论
过程集成
运营管理
作者
Adithya Nair,Kate A. Loveday,Charlotte Kenyon,Jixin Qu,Zoltán Kis
标识
DOI:10.1007/978-1-0716-3770-8_16
摘要
Quality by digital design (QbDD) utilizes data-driven, mechanistic, or hybrid models to define and optimize a manufacturing design space. It improves upon the QbD approach used extensively in the pharmaceutical industry. The computational models developed in this approach identify and quantify the relationship between the product's critical quality attributes (CQAs) and the critical process parameters (CPPs) of unit operations within the manufacturing process. This chapter discusses the QbDD approach in developing and optimizing unit operations such as in vitro transcription, tangential flow filtration, affinity chromatography, and lipid nanoparticle (LNP) formulation in mRNA vaccine manufacturing. QbDD can be an efficient framework for developing a production process for a disease-agnostic product that requires extensive experimental and model-based process-product interaction characterization during the early process development phase.
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