Process Analytical Technology (PAT) with Multivariate Analysis (MVA)
Start of event: 13/11/2018
End of event: November 13-15, 2018
In industry and product development the end goal is typically to manufacture a product with a defined and consistent quality. This can be achieved through real-time data collection and the application of relevant models to extract information in order to optimize the process operations. Process Analytical Technology (PAT) is the method of monitoring processes in real time, using relevant measurements and appropriate models. The full benefit of PAT requires consideration of measurements, planning of experiments, model development and implementation of the solution.
The PAT course will provide an overview of how Design of Experiments (DoE) and Multivariate Analysis (MVA) can be applied to R&D and manufacturing-based data to meet the many objectives of PAT in your environment. This course is aimed at the application of MVA tools for manufacturing intelligence, as well as defining the right experiments for efficient trials in R&D, pilot scale and in the live manufacturing environment. An introduction to batch modeling technology will also be included in the training.
The PAT challenges and solutions will be highlighted through examples and exercises using CAMO products (The Unscrambler® and Process Pulse II). The examples will be from across industries and the course is designed to be relevant for any industry.
The course will be delivered by one of our industry experts with extensive experience from the pharmaceutical industry, among others, and provides insights and experiences, gained through practical hands-on application of methods into real process situations.
Who should participate in this program?
This course is ideal for people who are:
- Looking at strategies for implementing multivariate statistical process control
- Supporting PAT projects
- Developing PAT applications
- Planning to implement PAT solutions
- PAT – in theory and real-world examples
- MVA for PAT
- Design of Experiments
- Batch Modeling
- On-line Process Measurement
- System Validation
Awareness and understanding of MVA methods in line with CAMO Multivariate Analysis – Level 1 course.
Dr. Geir Rune Flåten Chief Technology Officer, CAMO Analytics
Dr. Geir Rune Flåten worked as part of the process engineering group at GSK, where he led the chemometrics team in model development initiatives and NIR method development for manufacturing processes.
Industry: € 1690
Research: € 1690
Academia: € 1690
Oslo Science Park
0349 Oslo, Norway
Phone: +47 22 39 63 00