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PAT & QbD brochure (PDF) - JMP

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Conference Day One: 19th January 2010<br />

08.50 Pharma IQ Welcome and Chairperson’s Opening<br />

Address<br />

09.00 Opening Presentation: EU Regulatory<br />

Perspective of <strong>PAT</strong> Technology and Inspections<br />

Visit www.patandqbd.com for updates<br />

Des Makohon, Senior GMP Inspector, MHRA.<br />

Member, <strong>PAT</strong> Team, EMEA<br />

09.45 Case Study: Filing a <strong>QbD</strong> Submission Across the<br />

Globe<br />

• Outline of the product (saxagliptin, trade name<br />

Onglyza) and the joint file process<br />

• Highlighting the problem areas experienced<br />

throughout the application process<br />

• How were these challenges approached and<br />

overcome? Analysing the feedback from the<br />

different regulatory authorities across the globe<br />

Gerald DiDonato, Associate Director, Global<br />

Regulatory Sciences CMC, Bristol Myers Squibb<br />

10.30 Process Understanding: The Key to a<br />

Successful <strong>QbD</strong> or <strong>PAT</strong> Implementation.<br />

To properly design quality into your product you<br />

need to understand the relation between functional<br />

requirements and design parameters. At the same<br />

time, the relationship between the design parameters<br />

and process parameters provides the basis to<br />

properly control the manufacturing process used to<br />

realize your product design. <strong>QbD</strong> combines both aspects,<br />

and holds the promise of reduced time to market and<br />

increased market share. In this session you will:<br />

• See how Design of Experiments (DoE) allows you<br />

to rapidly gain secure knowledge of the two<br />

types of relationships fundamental to <strong>QbD</strong>.<br />

• Discover how easy to use software packages,<br />

like <strong>JMP</strong> from SAS, have made DoE a tool for<br />

engineers, not just for statisticians.<br />

• See several real-world examples of the use of<br />

DoE within <strong>QbD</strong> initiatives in the pharmaceutical<br />

and biotech industry<br />

Dr Per Vase, Senior Specialist, Consulting, NNE<br />

Pharmaplan<br />

10.50 Networking Coffee Break<br />

11.20 Multivariate Statistical Process Control: Moving<br />

Towards Model Based Approaches<br />

• The challenges of capturing, analysing and<br />

monitoring with real time dynamic data<br />

• Understanding why process dynamics and<br />

dynamic multivariate monitoring are important to<br />

assured pharmaceuticals development and<br />

manufacturing<br />

• Analysing the role of dynamics in <strong>PAT</strong> and <strong>QbD</strong><br />

in achieving RTR<br />

• Increasing process understanding using<br />

advanced <strong>PAT</strong> tools<br />

Professor Julian Morris, Technical Director, CPACT<br />

12.00 Ensuring Efficient <strong>QbD</strong> and <strong>PAT</strong> Implementation<br />

<strong>PAT</strong> and <strong>QbD</strong> has left the initial phase and the<br />

question that companies face now is how to<br />

implement <strong>PAT</strong> and <strong>QbD</strong> in an efficient way rather<br />

than if it is possible.<br />

Umetrics will talk about common themes in projects<br />

which have reached their goals within the given<br />

timeframe and budget including:<br />

• The importance and use of risk analysis, FMEA<br />

• Understanding when and how to employ<br />

multivariate methodology<br />

• The benefits of involving QA at an early phase to<br />

avoid delays in the implementation and<br />

validation phase<br />

Examples range from DoE based development<br />

projects all the way to validated multivariate<br />

on-line installations.<br />

Petter Morree, Director, Online Products,<br />

Umetrics AB<br />

12.45 Networking Lunch Break<br />

14.00 Case Study: Using NIR <strong>PAT</strong> Application to<br />

Reduce Risk of Scale-Up<br />

This case study will demonstrate how a simple <strong>PAT</strong><br />

application reduced the risk to critical Quality<br />

Attributes of scaling up a Unit Dose process<br />

Ayub Khan, Process Technologist, Napp<br />

Pharmaceuticals<br />

14.45 Case Study: Robust Method for the<br />

Determination of Caffeine in Intact Tablets by<br />

Near-infrared Spectroscopy<br />

• Development of a method for the determination<br />

of caffeine in intact tablets<br />

• Effect of the sample size on the predictive<br />

ability of the developed calibration model<br />

• Effect of the sample variance<br />

(variable compression force) on the predictive<br />

ability of the developed calibration model<br />

• Comparison between diffuse reflectance and<br />

diffuse transmittance NIR sampling<br />

Branko Vranic, PhD Student and Teaching Assistant,<br />

Industrial Pharmacy Lab, University of Basel<br />

15.30 Networking Coffee Break<br />

16.00 Gathering Data to Support <strong>QbD</strong><br />

• Importance of Product Definition and Process Mapping<br />

• Risk assessment process: Subjective vs. statistical<br />

data, use of FMEA and Cause+Effect Matrix<br />

• Use of measurement systems to gather data<br />

during DoE: Measured vs. Measurement Variance<br />

• Use of <strong>PAT</strong> to drive process control<br />

Martin Warman, Scientific Fellow, Analytical<br />

Development, Vertex Pharmaceuticals<br />

16.45 Case Study: Application of <strong>QbD</strong>/<strong>PAT</strong> on a<br />

Commercial Product: Quality by Re-Design<br />

• The reason why we are trying to implement <strong>PAT</strong><br />

will also be shown to be the handling of the<br />

incoming variability in order to deliver predefined<br />

quality each and every time<br />

• The utilisation of Quality Risk Management tools<br />

for finding the Critical Process Parameters. This<br />

includes Fishbone diagrams and FMEA’s<br />

• Why IT and Automation infrastructure are<br />

necessary for using MVDA during manufacturing<br />

• Outlining the need for MVDA in manufacturing<br />

as a confirmation of the established design<br />

space will be described<br />

Dr Hedinn Valthorsson, Manufacturing Manager,<br />

Novartis<br />

17.30 Break-Out Round Table Discussions<br />

Participants will be able to choose between the<br />

different roundtables and spend 45 minutes<br />

discussing the points outlined below before<br />

feeding back to the group<br />

A: The Use of Lean and Six Sigma Initiatives with<br />

<strong>PAT</strong> when Striving for Operational Excellence<br />

Martin Warman, Scientific Fellow, Analytical<br />

Development, Vertex Pharmaceuticals<br />

B: Successfully Using Quality Risk Management to<br />

Establish CQAs<br />

Zadeo Cimarosti, Manager, Chemical Development,<br />

GlaxoSmithKline Verona, Italy<br />

C: Should You Build in <strong>QbD</strong> Before or After Proof of<br />

Concept<br />

Michael Schousboe, Senior <strong>QbD</strong> Manager,<br />

Manufacturing Science and Quality, Novo Nordisk<br />

D: Successfully Creating and Controlling a Secure<br />

Design Space<br />

Dr Barry Gujral MBA, Associate Director, Quality<br />

Engineering, Noven Pharmaceuticals Inc.<br />

E: How to Approach <strong>QbD</strong> in Biopharmaceuticals<br />

Victor A. Vinci, Director, Bioprocess Operations,<br />

Eli Lilly and Company<br />

18.30 Chairperson’s Closing Remarks and Close of Day One<br />

CALL: +44 (0)20 7368 9300 / 0800 652 2363 FAX: +44 (0)20 7368 9301 EMAIL: enquire@iqpc.co.uk

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