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Application of design of experiment (DOE) techniques to process validation in medical device manufacture

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Dixon, D, Eatock, J, Meenan, BJ and Morgan, M (2006) Application of design of experiment (DOE) techniques to process validation in medical device manufacture. Journal of Validation Technology, 12 (2). pp. 92-100. [Journal article]

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Abstract

Process validation is a requirement in heavily regulated industries such as the automotive and aerospace industries. Both the International Organization for Standardization (ISO) 9000/13485 and the U.S. Food and Drug Administration (FDA) Quality System Regulations (QSR) 820 Part 21 Code of Federal Regulations (CFR) “Quality Systems for Medical Devices,” require process validation as a regulatory requirement. Design of experiment (DOE) statistical methods will allow these requirements to be met in the most resource-efficient manner possible, whilst providing a greater understanding of the process and highlighting opportunities for quality improvement.This paper provides an overview of the application of DOE techniques during key aspects of process validation and discusses two practical examples from medical device manufacturing. The attendant benefits of this type of procedural approach to the medical device sector are considered. From the results obtained, it is clear that meeting process validation requirements can be taken as an opportunity to better understand and improve manufacturing processes. As such, DOE techniques are pivotal in effectively achieving these aims in a manner that provides for regulatory compliance.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Engineering
Research Institutes and Groups:Engineering Research Institute
Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
ID Code:7073
Deposited By:Professor Brian Meenan
Deposited On:20 Jan 2010 11:04
Last Modified:18 Aug 2011 11:43

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