Design and Analysis of Experiments

CA08
Nederlands
Engels

The DOE training is hands-on and designed for individuals who want to actively engage in Experimental Design and gain a better understanding of the statistical analysis of experimental data. The course emphasizes the Optimal Design of Experiments, matching the experimental design to the problem while considering all experimental boundary conditions and constraints. Optimal DOE is computer-aided, meaning experiment runs and regression models are generated by computer algorithms; the software package used is JMP. The topics are illustrated through case studies and examples from industrial R&D, making the training particularly relevant for professionals in that field.

The course is divided into two modules, each lasting one full day. The basic module begins by covering the necessary theory, including basic training in linear multiple regression analysis for analyzing experimental data and establishing statistical process models needed for parameter screening and optimization. Additionally, the JMP software package will be introduced, and simple cases will be reviewed to describe the basic DOE approach. The advanced module covers more complex examples with specific experimental conditions. In each of the case studies, the goal is to improve the performance of a process or product through efficient exploration and optimization.

Module 1: Basics (1 day)

  • Drawbacks of non-DOE experimentation methods
  • DOE “Active Learning” approach & goal
  • DOE Define-Model-Design-Analyze workflow
  • Full Factorial “screening” DOE case study
  • Regression Modeling and Analysis
  • Response Surface “Central Composite Design” optimization case study 

Module 2: Advanced case studies (specific experimental conditions, criteria & goals) (1 day)

  • Some factors (effects) are categorical
  • Number of experiment runs is limited because of the available budget
  • Process optimization with several responses Y
  • “Quality by Design” case study: specifying the “Control Space”
  • Factors are components of a mixture “Mixture DOE”
  • There are uncontrollable “random block” effects 

Additional information

  • One week prior to the course, the registered participants will receive further information (directions, parking availabilities, course material). 
  • Upon completion of the training, a certificate of attendance will be made available on the platform.
  • Additionally, the participant will receive an evaluation form to provide feedback on this training.

Annulation/Cancelation

Registration is possible up to one week before the day of the respective session.
Registrations can only be canceled by email, up to one week before the day of the respective course. After that, the full registration fee will still be due in case of cancellation. 
A participant unable to attend can always be replaced by a colleague or can request a voucher for a similar training on a later date!

A minimum attendance of 5 participants is required to conduct the training. Otherwise the organization reserves the right to reschedule or cancel the training!

Register here

Design and Analysis of Experiments: Full course (2 days)

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Description

Module 1: Basics (1 day)

  • Drawbacks of non-DOE experimentation methods
  • DOE “Active Learning” approach & goal
  • DOE Define-Model-Design-Analyze workflow
  • Full Factorial “screening” DOE case study
  • Regression Modeling and Analysis
  • Response Surface “Central Composite Design” optimization case study 

Module 2: Advanced case studies (specific experimental conditions, criteria & goals) (1 day)

  • Some factors (effects) are categorical
  • Number of experiment runs is limited because of the available budget
  • Process optimization with several responses Y
  • “Quality by Design” case study: specifying the “Control Space”
  • Factors are components of a mixture “Mixture DOE”
  • There are uncontrollable “random block” effects 
Remarks

Additional information

  • One week prior to the course, the registered participants will receive further information (directions, parking availabilities, course material). 
  • Upon completion of the training, a certificate of attendance will be made available on the platform.
  • Additionally, the participant will receive an evaluation form to provide feedback on this training.

Annulation/Cancelation

Registration is possible up to one week before the day of the respective session.
Registrations can only be canceled by email, up to one week before the day of the respective course. After that, the full registration fee will still be due in case of cancellation. 
A participant unable to attend can always be replaced by a colleague or can request a voucher for a similar training on a later date!

A minimum attendance of 5 participants is required to conduct the training. Otherwise the organization reserves the right to reschedule or cancel the training!

Inschrijven

Price
1.500,00 €
Possible discount price depending on your profile

Module 1 - Basic Course

Description

Module 1: Basics (1 day)

  • Drawbacks of non-DOE experimentation methods
  • DOE “Active Learning” approach & goal
  • DOE Define-Model-Design-Analyze workflow
  • Full Factorial “screening” DOE case study
  • Regression Modeling and Analysis
  • Response Surface “Central Composite Design” optimization case study 
Remarks

Additional information

  • One week prior to the course, the registered participants will receive further information (directions, parking availabilities, course material). 
  • Upon completion of the training, a certificate of attendance will be made available on the platform.
  • Additionally, the participant will receive an evaluation form to provide feedback on this training.

Annulation/Cancelation

Registration is possible up to one week before the day of the respective session.
Registrations can only be canceled by email, up to one week before the day of the respective course. After that, the full registration fee will still be due in case of cancellation. 
A participant unable to attend can always be replaced by a colleague or can request a voucher for a similar training on a later date!

A minimum attendance of 5 participants is required to conduct the training. Otherwise the organization reserves the right to reschedule or cancel the training!

Inschrijven

Price
800,00 €
Possible discount price depending on your profile

Module 2: Advanced case studies (specific experimental conditions, criteria & goals) (1 day)

Description

Module 2: Advanced case studies (specific experimental conditions, criteria & goals) (1 day)

  • Some factors (effects) are categorical
  • Number of experiment runs is limited because of the available budget
  • Process optimization with several responses Y
  • “Quality by Design” case study: specifying the “Control Space”
  • Factors are components of a mixture “Mixture DOE”
  • There are uncontrollable “random block” effects 
Remarks

Additional information

  • One week prior to the course, the registered participants will receive further information (directions, parking availabilities, course material). 
  • Upon completion of the training, a certificate of attendance will be made available on the platform.
  • Additionally, the participant will receive an evaluation form to provide feedback on this training.

Annulation/Cancelation

Registration is possible up to one week before the day of the respective session.
Registrations can only be canceled by email, up to one week before the day of the respective course. After that, the full registration fee will still be due in case of cancellation. 
A participant unable to attend can always be replaced by a colleague or can request a voucher for a similar training on a later date!

A minimum attendance of 5 participants is required to conduct the training. Otherwise the organization reserves the right to reschedule or cancel the training!

Inschrijven

Price
800,00 €
Possible discount price depending on your profile