Why TONEX's Design of Experiments Training? DOE Training Course Description . The Design of Experiments training course for managers covers a brief yet intensive training on the best way to utilize DOE procedures to break down reasons for disappointments, resolve issues and issues, and enhance and improve forms.
#Learn about
- Overview of principals: theory of the systems, variation, and basic principals of statistics methods
- Historical background of DOE
- Advantages of DOE over traditional methods of experimentation
- Factorial designs
- Fractional (partial) factorial and Plackett-Burman
- Procedure of executing DOE
During this introductory training of DOE, you will learn the basics of experimental design and their role in statistical process control. Even if you don’t have a strong background in math and mathematics, don’t worry.
Instructors at TONEX will teach you how to set up and run basic factorial and screening experiments; how to analyze the experimental results; and determine the crucial factors for more investigations. Once you become comfortable with these fundamentals, Tonex instructors will help you design and execute experiments step by step.
#Audience
The introduction to Design of Experiments (DOE) training is a one-day course ideal for
- Managers
- Scientists
- Technicians
- production personnel
- products/processes designing people
- R&D team
#Preparing Objectives
Upon the consummation of this workshop, the participants can:
- Comprehend the ideas, principals, applications, and points of interest of DOE
- Build up the aptitudes and abilities required keeping in mind the end goal to set up, lead, and break down a DOE
- Utilize DOE for critical thinking, underlying driver investigation, improvement, items/process plans
- Comprehend and translate the DOE comes about
- Execute DOE test grid totally
- Build DOE models
- Utilize ANOVA, relapse, or graphical strategies to examine the DOE comes about
- Distinguish those info factors that have the most effect on the result
- Adventure bewildering ideas to decipher fragmentary factorial DOE
- Comprehend Robust DOE
- Select fitting Response Surface Design
Design of Experiments (DOE) - Training for Managers
Comments
Post a Comment