Design of Experiments Training By TONEX, DOE Training Overview for Managers
The Design of Experiments training, DOE Training course covers a brief yet thorough training on how to use DOE techniques to analyze causes of failures, resolve problems and issues, and improve and optimize processes.
Through this short workshop, you will learn the principals and applications of the DOE. You will receive sufficient amount of training to be able to identify critical input factors that can have significant impacts on the process outcome. This hands-on training course supplements basic statistics and conventional experimental designs, which can be applied in both designing new products and process and improving and optimizing the existing products and processes.
Through this hands-on brief workshop, trainees will also 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. Our 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, our instructors will help you design and execute experiments step by step.
Who Should Attend?
The Design of Experiments (DOE) training is a 0ne-day course ideal for:
- Production personnel
- Products/processes designing people
- The R&D team.
What Will You Learn?
Below are the major topics this seminar will cover (more details can be found under the full course description):
- How To Construct A DOE
- Steps To A Successful DOE
- The DOE Analysis
- Designs Supplementations
- Response Surface Experiments
Design of Experiments Training, DOE Training Overview for Managers