Training Experimental Design
Learn how to design and analyze experimental plans to develop and improve your industrial products and processes with fewer trials.
Order
Training in Design of Experiments
- e-learning
- face-to-face
- statistics
Duration
20h
Rate
250 € (excl. tax) per person
Master experimental design to understand processes
Do you need to adjust 5 welding parameters? Testing each combination one by one would require 32 trials. A well-chosen factorial design allows you to identify the influential factors in just 8 or 16 trials.
The Design of Experiments training course will enable you to understand and master the different methodologies for optimizing your experimental processes. You will explore the advantages of different designs over traditional methods, and learn how to construct and interpret these designs to obtain reliable results.
On completion of the Design of Experiments course, you will be able to design optimized experiments, saving time and reducing costs by minimizing the number of trials required. By mastering complete and fractional designs, you'll be able to select the method best suited to your objectives, while limiting the risk of error or bias in the interpretation of results.
The Design of Experiments training course will enable you to understand and master the different methodologies for optimizing your experimental processes. You will explore the advantages of different designs over traditional methods, and learn how to construct and interpret these designs to obtain reliable results.
On completion of the Design of Experiments course, you will be able to design optimized experiments, saving time and reducing costs by minimizing the number of trials required. By mastering complete and fractional designs, you'll be able to select the method best suited to your objectives, while limiting the risk of error or bias in the interpretation of results.
Why take our course on experimental design?
The experimental design training course is lively and interactive. Numerous exercises on Ellistat's Data Analysis software will enable you to put theory into practice. The resources and help provided by our teams will make it easier for you to assimilate complex concepts.
100%
Trainees who are satisfied with the training provided by Ellistat
2 months
Available bachelor's degree programs in data analysis
99%
of trainees recommend our courses
*September 2021 to September 2026*
Trainees' Feedback
Objectives
- Building an experimental design
- Analyze test results
- Modeling a process
- Critiquing a model
For whom
The Design of Experiments training course is designed for employees, particularly engineers, supervisors and technicians, who carry out tests as part of the design and improvement of products or industrial processes.
Prerequisites
- Basic use of the Internet and a web browser.
- A Level 5 degree (two years of post-secondary education) and/or two years of initial work experience.
Duration
20 hours of animated 100% e-Learning, implementation of theoretical points on industrial simulators. The e-Learning is available 24/7 for 2 months for this training course.
Teaching and technical resources
- 100% E-Learning training on a dedicated platform
- Our teaching methods are mediatized (voice, text, exercises), fun and multimodal, with tests at every lesson.
- Theoretical presentations
- Case studies
- Online availability of PDF and Excel support documents
Teaching team
A program developed by Maurice Pillet, co-founder of Ellistat and a leading authority in France on industrial quality and Six Sigma.
All of our instructors are Lean Six Sigma Master Black Belts and have at least 10 years of experience applying Lean and Six Sigma in industrial settings. More than 30 years of hands-on experience inform the real-world case studies and exercises in each module.
Accessibility
The Experience Plan training course is accessible to people with disabilities. Please contact us for specific accommodation options. We will do our utmost to accommodate you.
Evaluation methods
- Attendance sheets.
- Oral or written questions (MCQs).
- Case studies.
- Practical work
Program
Complete plans (3 hours)
- Explain the benefits of experimental design versus the traditional approach
- Interpret the results of a design of experiments
- Building a complete plan
Fractional 2k (3 hours)
- Understanding the conditions for fractional design
- Understanding the risks of fractional design
- Choosing the right plan for the right strategy
- Managing the risks of fractional designs on interactions
- Minimize the number of trials
Fractional over 2 levels (3 hours)
- Understand how to build a plan with more than 2 levels
- Construct a fractional plane under these conditions
- Introduction to D-optimality
Response surface (3 hours)
- The benefits of response surface plans
- The different planes in the response surface
- How to use a centered composite plane
Multi-Y optimization - desirability (3 hours)
- Understanding the principle of desirability
- Optimize several answers at the same time
Mixing plans (3 hours)
- Understanding the difference between a mix design and a factorial design
- Know how to construct mixing plans with 2 to 4 components with conditions on the min and/or max proportions of each component
- Analyze mixing plans to find the best configuration
- How to construct a mixing plane using D-optimal point selection
- Know how to mix a mixing plan with a factorial plan on process factors
Design of Experiments Training: E-learning or In-Person
- E-learningSelf-directed learning250€
- 20h of e-learning courses
- Online support
- Training available for 2 months
- 2-month free access to Data Analysis module
- PresentialIn-company trainingOn request
- Application to a concrete case in class
- Using the Data Analysis module
