Unleash The Power Of DOE
Learn how Design Of Experiments can help you optimise Any process, machine or product to achieve the best possible outcome!
Why is DoE essential for every engineer, scientist, project manager and pizza shop owner?
Design of Experiments (DoE) is a method for statistically secured planning and statistical evaluation of experiments. DoE was explicitly developed to analyze the influence of many factors in a system as quickly and structured as possible. Therefore, we are more than confident that if the DoE is done and done right it will save a lot of hassle, cost and time in the long run. Doe is also a very important tool of the Six sigma strategy.
What is the aim of the DoE?
Accordingly, the aim of DoE is to learn as much as possible about the relationships between influencing variables (factors/inputs) and results (output/response) with as little experimental effort as possible. With applying doe we can get a regression equation to describe the relationship between the factors and the output (Y = f (x1 ... xn)).
What are the possible applications of DoE?
Development of products and processes.
Optimization of target values.
Identification of the optimal production setting to reduce waste, make processes and products safer, reduce costs and increase quality.
Investigation and, if necessary, correction of errors whose cause is not clearly known.
Analysis of the robustness of a system against external disturbances Validation of processes through their methodical investigation
(Course in progress - new lectures added weekly)
Welcome!
What is DOE? And how can I use it to make better pizza!
FREE PREVIEWQuiz 1
FREE PREVIEWAssignment 1 (Bonus)
DOE Vs. OFAT.
Assignment 2
Steps to apply DOE
Introduction to the P-Value
What is P-Value ?
Assignment 3 (Bonus)
Quiz 2
Summery for Section one
Welcome to Section 2
Defining the factors and the output.
FREE PREVIEWExercise
FREE PREVIEWAssignment 1
Introduction to the DOE Designs and factor levels
Quiz 1
Quiz 2
Assignment 2 (Bonus)
The concept of the full factorial design
Assignment 3
Example (Replication and Center point method)
Quiz 3
Assignment 4
Summery for section 2
Th Fractional factorial design
The concept of the Fractional factorial design
Quiz 1
Assignment 1
Quiz 2
Fractional factorial design (The Resolution)
Quiz 3
Quiz 4
The trade-off table
Assignment 2
Practical example for the resolution
Quiz 5
Lecture 4 (It will be available in one week....)
Optimization methods (Response Surface method) (The Section is in Progress)
DOE-Plan creation (The Section is in Progress)
Evaluation of the experiment (Minitab) (The Section is in Progress)
and prove your skills
All the steps to apply a doe method.
How to choose the suitable factors for doe, and what the factor levels are.
The different doe designs (full factorial design, fractional factorial design, center point method and Central Composite Designs (CCD))
How to calculate the effect of the factors by using simple mathematical equations
Effect diagram, regression equation, alias structure.
What response surface method is, and how we use it to optimize a process.
How to carry out an experiment and what randomization and blocking are.
Some of the statistical basics, for example what P-Value is.
Using Program Minitab (Appling what we learned on a project from real life).
Not sure if this is the right course for you?