DOE Is Effeciency

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 curriculum

(Course in progress - new lectures added weekly)

    1. Welcome!

    2. What is DOE? And how can I use it to make better pizza!

    3. Quiz 1

    4. Assignment 1 (Bonus)

    5. DOE Vs. OFAT.

    6. Assignment 2

    7. Steps to apply DOE

    8. Introduction to the P-Value

    9. What is P-Value ?

    10. Assignment 3 (Bonus)

    11. Quiz 2

    12. Summery for Section one

    1. Welcome to Section 2

    2. Defining the factors and the output.

    3. Exercise

    4. Assignment 1

    5. Introduction to the DOE Designs and factor levels

    6. Quiz 1

    7. Quiz 2

    8. Assignment 2 (Bonus)

    9. The concept of the full factorial design

    10. Assignment 3

    11. Example (Replication and Center point method)

    12. Quiz 3

    13. Assignment 4

    14. Summery for section 2

    1. Th Fractional factorial design

    2. The concept of the Fractional factorial design

    3. Quiz 1

    4. Assignment 1

    5. Quiz 2

    6. Fractional factorial design (The Resolution)

    7. Quiz 3

    8. Quiz 4

    9. The trade-off table

    10. Assignment 2

    11. Practical example for the resolution

    12. Quiz 5

    13. Lecture 4 (It will be available in one week....)

    1. Optimization methods (Response Surface method) (The Section is in Progress)

    1. DOE-Plan creation (The Section is in Progress)

    1. Evaluation of the experiment (Minitab) (The Section is in Progress)

About this course

  • $110.00
  • 42 lessons
  • lifetime access
  • Money-back guarantee (30 days)
  • quizzes, assignments and a hand-on project

Earn a Certificate

and prove your skills

Earn a certificate in Design of experiments (DOE) and prove your accomplishments. A certificate increases your chances of getting an interview and landing a job offer (actual layout and content of certificate may vary )
DOE design of experiments certificate

Skills you will gain in the course

  • 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).

Sample Lecture

Full factorial design

Who joins this course?

  • Engineers and project managers

    Engineers and project managers who want to optimize processes or products (All Engineering fields).

  • Researchers and scientists

    Chemists, physicists and researchers in the scientific field who want to plan and evaluate their experiments in a structured way

  • Companies and institutions

    Companies looking to train their employees to achieve the maximum efficiency of their processes and products

  • Students and PhD candidates

    Students who want to accomplish their projects or write their thesis and want to design the experiments according to the highest academic and industry standards

  • Graduates and job seekers

    Fresh graduates who want to improve their industry knowledge and add a verifiable certificate to their CV to prove their skills

  • Professors, schools and teachers

    Professors and teachers who want to refer their students to a reliable resource to help them design and evaluate their research

Money-Back guarantee

Not sure if this is the right course for you?

We are certain that you will love the course as much as we do. But if for any reason you are not satisfied with it, just issue a refund in the first 30 days of enrollment and we will refund 100% of your investment. No questions asked!
gd&t course money back guarantee

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