Batch process modelling - Onsite course

Course Objective

The objective of this course is to guide the attendees through their journey from a process data set to a multivariate monitoring model based on their process data. Multivariate data tables are translated into interpretable charts and plots which simplifies the process monitoring as well as analysis of process deviations. Multivariate technology is the science of separating the signal from the noise in data with many variables and presenting the results in a simple graphical format. Quickly go from a complicated table of numbers to a simple plot of the essentials. The key to unlocking the information in your data lies in the correlations among the variables, not in the variables themselves.

Who should participate?

Intended for researchers, scientists and engineers from all sectors of biopharma with a lot of process understanding but with no or limited statistical background. Typical applications include product development, process improvement/optimization, investigations of deviation and scale-up of processes.

Selected Course Content

• Introduction to batch methodology and modelling concept

• Raw data analysis: How to find reliable data

• Background of statistical methods applied

• Modeling of Batch evolution and Model interpretation

• Transferring models into SIMCA^®-online

• The course slides contains many practical hints to make modelling easy

Language Information

Seminars are given in the language stated. In-depth discussion, course material and printed material are in English hence knowledge of English is required.

Schedule

Session 1: Introduction, What is a process and aspects of Bio Processing.

• Introduction to Sartorius Data Analytics.

• Values, Objectives and Possibilities for Multivariate Batch modeling and monitoring.

• What is a process and aspects of Bio Processing.

• Basic understanding of the multivariate techniques used.

• Software click-along demo.

Session 2: PCA and OPLS

• Applications of PCA and OPLS.

• Initial considerations.

• Data organization and raw data analysis.

• Software click-along demo.

Session 3: Batch Evolution Models (BEM), Batch Level Models (BLM)

• Details of the BEM

• Details of the BLM

• Software click-along demo

Session 4: The transition from offline to online modeling

• Moving to SIMCA®-online

• Navigating in SIMCA®-online

• Model maintenance and updating

• Software click-along demo

• Course debriefing and final Q&A

Course Material and Software

The electronic course material (course slides and exercises) and the SIMCA course license will be sent out by email two weeks before the course starts. SIMCA needs admin rights to be installed so please contact IT soonest. Sartorius cannot help you to install SIMCA. We recommend you have two screens or one projector and one PC in order to follow the course and demos easily. However this is not required.

Cost and Conditions

The course fee is 1630€ per person. Cancellations received later than two weeks before the course starts will not be refunded. For courses cancelled more than two weeks before the course starts, Sartorius Stedim Data Analytics AB will retain 10% of the course fee to cover administrative costs and the rest of the amount will be refunded.Course participant(s) can be substituted by the registering company as long as Sartorius Stedim Data Analytics AB is notified.Sartorius Stedim Data Analytics AB are providing courses based on a sufficient number of registrants. Therefore, Sartorius Stedim Data Analytics AB reserves the right to cancel the course 14 days prior to the course start date, if the number of registrants is too low. Full refund will be made to these registrants. A 10% discount will be made to any registrant(s) enrolling in the next available course.