Process Optimization and Control in the Context of PAT
Next Date
By arrangement
Participants
3 - 12
Duration
2 Days
Course Form
online, classroom in Basel or in-house ℹ
Course Description
Do you work in a GMP context and want to better understand and control your processes? This course will provide you with the required knowledge about the statistical methods that enable you to achieve your goals, including Design of Experiments (DoE) and Statistical Process Control.
What Are You Going to Learn?
Process Analytical Technology (PAT) is a systematic approach and a key element of the FDA’s “GMP for the 21st Century Initiative”, strongly supported by the EMEA. This course teaches how to systematically design, analyse, and monitor production processes. The methods are explained and illustrated using many practical examples and hands-on PC-based software demonstrations and exercises.
Who Should Attend?
Scientists, engineers and quality managers in development, production or quality assurance
Elementary statistical knowledge is assumed (as provided in “Visualization of Lab Data with Excel”).
Course Fees
- CHF 795.- per day + 8.1% VAT (incl. course documents and individual participant coaching during the practical exercises) for online courses
- CHF 865.- per day + 8.1% VAT (incl. course documents, individual participant coaching during the practical exercises, break refreshments and lunch) for classroom courses.
Which Topics Are Covered?
The PAT Concept
Quality assurance strategies
The philosophy of PAT
Basics
Data visualization tools for one variable
Data visualization to analyze correlations
Linear regression to model the correlation between variables
Statistical Design of Experiments (DoE)
Concepts and implementation in practice of statistical design of experiments
Typical experimental designs
Analysis methods
PAT and the Design Space
Statistical Process Control (SPC)
Quality control charts
CUSUM charts
Process capability indices Cp and Cpk
Multivariate Data Analysis
Principal components analysis (PCA)
Application: dimension reduction and multivariate statistical process control
Discriminant analysis
Any Questions? Send Us a Message.
Since we are a small company, we can respond quickly to your questions. Just contact us either by telephone +41 61 686 98 77 or using the Contact form.