文档
质量(理念)
计算机科学
过程(计算)
过程管理
产品(数学)
心态
工艺验证
质量保证
风险分析(工程)
工程类
验证和确认
运营管理
业务
人工智能
操作系统
几何学
哲学
认识论
程序设计语言
数学
外部质量评估
出处
期刊:Pda Journal of Pharmaceutical Science and Technology
[Parenteral Drug Association, Inc.]
日期:2014-03-01
卷期号:68 (2): 185-191
被引量:2
标识
DOI:10.5731/pdajpst.2014.00972
摘要
This article has been written as a contribution to the industry9s efforts in migrating from a document-driven to a data-driven compliance mindset. A combination of target product profile, control engineering, and general sum principle techniques is presented as the basis of a simple but scalable lifecycle compliance model in support of modernized process validation. Unit operations and significant variables occupy pole position within the model, documentation requirements being treated as a derivative or consequence of the modeling process. The quality system is repositioned as a subordinate of system quality, this being defined as the integral of related “system qualities”. The article represents a structured interpretation of the U.S. Food and Drug Administration9s 2011 Guidance for Industry on Process Validation and is based on the author9s educational background and his manufacturing/consulting experience in the validation field. LAY ABSTRACT: The U.S. Food and Drug Administration9s Guidance for Industry on Process Validation (2011) provides a wide-ranging and rigorous outline of compliant drug manufacturing requirements relative to its 20th century predecessor (1987). Its declared focus is patient safety, and it identifies three inter-related (and obvious) stages of the compliance lifecycle. Firstly, processes must be designed, both from a technical and quality perspective. Secondly, processes must be qualified, providing evidence that the manufacturing facility is fully “roadworthy” and fit for its intended purpose. Thirdly, processes must be verified, meaning that commercial batches must be monitored to ensure that processes remain in a state of control throughout their lifetime.
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