Design and Analysis of Experiments (CESPE Academy)

Beschrijving

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.

Programma

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

Opmerkingen

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.
• By registering for this course, the participants consent to the sharing of their name and email information with the course instructor/provider for the purposes of sharing educational course-related information.
• Ghent University is recognized as a training provider. With training vouchers from the Flemish Government, your company can save up to 30% on the participation fee for our courses. You can apply for the KMO Portfolio subsidy from VLAIO online at www.kmo-portefeuille.be for financial support to entrepreneurs for purchasing training and consultancy services at CESPE Academy no later than 14 calendar days after the start of the course. For more information, please see https://www.ugent.be/nl/opleidingen/levenslang-leren/kmo. Use the following authorisation-ID when requesting the subsidy: DV.O103194.

Annulation/Cancelation

Registration is possible up to one week before the day of the respective session.
Registrations can only be cancelled by email, up to one month before the day of the respective course. In case the cancellation occurs between one month and one week before the start of the course, half of the registration fee will still be due. In case of cancellation less than one week before the start of the course. the full registration fee will still be due.

The organization reserves the right to reschedule or cancel the training in case of insufficient number of participants.

Pricing (for full 2-day course)

• Industry (non CESPE member): 1500.- EUR
• Industry (CESPE member): 1050.- EUR
• Academic (non-UGent): 600.- EUR
• Academic (UGent postdoc or professor): 420.- EUR
• Academic (UGent PhD student): Free