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PAT architectures for manufacturing & development Johan Ronsyn

PAT architectures for manufacturing & development

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Microsoft PowerPoint - ISPE Nordic PAT architectures 20070529.pptPage 2 29/05/2007
Design of a PAT infrastructure
PAT for manufacturing How a PAT architecture can improve operational excellence PAT System design Data capturing and analysis Analyzer management Data storage & retrieval
PAT for development PAT as a continuous process understanding improvement tool Process Knowledge Hierarchy Future developments
Conclusions
Actual & future manufacturing requirements
Manufacturing accounts for the second highest cost factor Research driven pharma companies 31% Generic manufacturers 51% Contract manufacturers 62%
Source: St Gallen report, 2006
How will companies cope with changing environment? What is the strategic response?
Changes due to new production technologies Increase operating efficiency Reduce product costs / achieve competitive pricing Produce individual products / address niche markets
Page 4 29/05/2007
Process Analytics
Risk-based inspection regimes
Page 5 29/05/2007
Page 6 29/05/2007
Input from one or more analytical instruments and process variables
Used to predict
High Level Enables optimization of the complete process
Gathers data from all Process steps via PAT Base Stations
Allows to follow up total batch quality and compare with process specifications
Enables Real Time Product Release
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Analyser Laser Sizer
VisualizationsVisualizations
Multiple Model Levels
Page 11 29/05/2007
Integrated Data Portal
PAT measurements & predictions
Batch Context & Metadata
Page 12 29/05/2007
How PAT can close the gap between development and manufacturing
PAT as a continuous process understanding & improvement tool
PAT as part of the knowledge hierarchy
Page 14 29/05/2007
Quality systems approach (Develop a quality system which reflects product & process understanding and knowledge)
Should be integrated in process development
Even more so linked to clinical trials (development of quality surrogates for clinical performance)
Page 16 29/05/2007
Data Mining tools
Develop the future vision for the manufacturing and development infrastructure / architecture
Knowledge management tools will play a prominent role
Page 18 29/05/2007
Thank you very much for your attention.
Contact Johan Ronsyn Siemens nv Production & Quality Management Tel : +32 54 312 720 [email protected]
www.siemens.com/SIPAT