2016 - Webinar on Method Validation: Utilizing Quality by Design (QbD) and Risk in Implementation

A characteristic of good science is good data. Quality data are arguably more important today than ever before. Using a series of case studies and examples it will be shown how QbD can be integrated into a holistic approach that can be used to effectively design and improve laboratory processes enabling prompt, successful method validation. Methods discussed in this session include assessment of method design, repeatability and reproducibility, improving method robustness and measurement process control. Methods for assessing that amount of product variation that can be attributed to the manufacturing process, sampling procedures and test method are also presented. The concepts and methods involved will be introduced and illustrated with pharmaceutical and biotech case studies and examples.
Areas Covered in the Session :
Participants in the webinar will learn how to improve test method performance by:
Rapid design and development of test methods using statistical design of experiments
Improving measurement quality using Gage Repeatability and Reproducibility studies
Developing measurement systems that are robust to variations in method use
Controlling measurement variation by using control samples and statistical process control techniques
Identifying how much of the total variation is due to the manufacturing process, the sampling procedure and the test method
Who Will Benefit:
Executives and Managers engaged in Pharmaceutical and Biotech Research and Development
Quality Assurance Personnel
Regulatory Affairs Professionals
Test Method Development and Validation Personnel
Quality Engineers
Process and Manufacturing Engineers
Research and Development Scientists
Operations Excellence Professionals
Biologists and Microbiologists
Chemists and Chemical Engineers
Anyone with a desire to learn the fundamentals of methodical performance improvement