Process Optimization and Control in the Context of PAT

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Next Date

By arrangement

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Participants

3 - 12 

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Duration

2 Days

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Course Form

online, classroom in Basel or in-house

Trainer:
Trainer: Dr. Philippe Solot

He has over 25 years of experience in the application of statistical methods in the process industry. He has coached many training sessions on various topics, including Statistical Quality and Process Control. His wide practical knowledge allows him to make even technical concepts easily understand­able by participants.

Dr. Solot holds an M.Sc. and a Ph.D. in Applied Mathematics, both from the EPFL (Swiss Federal Institute of Technology, Lausanne).

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

Standard 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.
Conditions for the EU

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

Registration Form – Process Optimization and Control in the Context of PAT
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CONFIRMDATA1
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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.