Process Optimization and Control in the context of PAT
You want to organize your production according GMP-standards or you fullfill them already ? In addition, you want to understand or control your processes much better ? PAT (Process Analytical Technology) is a systematic approach which got a central point in the "GMP initiative for the 21. century" of the FDA and is also strong supported by the EMEA.
What would you learn ?The process control requried in the context of PAT causes to huge amount of data. In this course you will learn to design, analyse and watch systematicly production processes, based on measurements of the critical parameters. Our main focus will be the methods, which result in a better understanding of processes if used right. The applications will be illustrated through examples from practice and supplemented with demonstrations of software. In addition, you will have the possibility to apply directly your knowlege by doing many exercises on PC.
Who should attend ?
- Scientists, engineers and quality managers in Development, Production or Quality Assurance
- Elementary statistical knowledge is assumed (as given in the course "Visualization of Lab Data" )
Which topics are covered ?
| The PAT concept|
| ||The philosophy of PAT|
Strategies of process enhancement
| ||Visualization of data|
Linear Regression: modelling the structure of correlation between two observations
| Statistical design of experiments|
| ||Concepts of statistical design of experiments|
Analysis and interpretation of results
- Factorial designs
- Fractional designs
- Designs for optimization
| Statistical process control|
| ||Quality Control Cards|
Process capability indices Cp and Cpk
| Multivariate analysis|
| ||Principal Components Analysis (PCA)|
Application: reduction of dimensions and multivariate process control
Any questions ?
- Course duration: 2 days
- Participants: max. 12 (one PC per participant)
- Costs: including complete course documentation, coffee and lunch: see registration form
- Dates: see registration form
- Further information: see contact page