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Batch Process Modelling using MVDA - 2 days course - Sweden

Batch Process Modelling using MVDA - 2 days course - Sweden

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Batch Process Modelling using MVDA
This course is for those with earlier experience in MVDA, it is expected that they know SIMCA and basics on MVDA.
Using the latest multivariate techniques, participants will learn how to interpret complex data quickly and confidently. Discover the secrets of overviewing data tables and also learn how to build robust predictive models that turn data into decisions.

The course is composed of lectures, demonstrations and computer exercises in software SIMCA, based on real-life datasets.


The objective of this course is to teach the attendees how to build multivariate monitoring models based on their online process data. In multivariate data analysis data tables are translated into interpretable figures and plots which simplifies the process monitoring as well as analysis of process deviators.


    Intended for researchers, scientists and engineers from all sectors of industry and academia. Typical applications include product development, process improvement, optimization, validation and quality control. No prior knowledge of statistics is assumed.


    • Organization, vizualisation and treatment of different types of data
    • Multivariate data modelling and diagnostics
    • Modeling of Batch evolution and batch-to-batch variation
    • Model interpretation
    • Possibilities for on-line process monitoring

     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.


    1st day
    9:00 to 17:00
    Focus on Batch process monitoring models.

    After the first day the attendee should know what batch modeling is, its’ potentials and values as well as different modeling strategies for different situations.
    • Values, Objectives and Possibilities for Multivariate Batch modeling and monitoring
    • Modeling objectives and strategies
    • Multivariate technologies in batch process modeling
    • Demos and Exercises
    2nd day
    9:00 to 17:00
    Model validation and Batch level models.

    After the second day the attendees should know how to validate a monitoring model and possibilities with batch level modeling.
    • Model diagnostics and validation
    • Multivariate technologies in batch level models
    • Demo and Exercises
    • Participants are encouraged to bring their own data


      Please note that at some course locations you are required to bring your own computer for the exercises. Instructions on how to install the program will be included in the final course information.

      Included in the course fee (+ VAT) is coffee, lunch and course documentation.

      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.

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