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Design of Experiments Training, DOE Training For Engineers By TONEX

The Design of Experiments Training, DOE Training course is designed to teach you both theory and hands-on requirements necessary to run and execute the DOE.


DOE in general is a useful method to problem solving, optimization, designing products, and manufacturing and engineering. In particular, DOE is applied for root cause quality analysis, developing optimized and robust designs, and producing analytical and mathematical models to forecast a system behavior. The DOE training for engineers seminar will provide you a combination of theory, discussion, and practical material to help you feel comfortable and fluent in executing the DOE.

The DOE is a branch of statistics mostly tackling the causes of failure and provides a tool to plan, perform, analyze, and interpret experiments under controlled conditions. A well-designed and -conducted experiment can generate useful data providing information about the effect of a response variable on the results. In the conventional way of studying the effect of multiple variables on an experiment, all variables would be held constant and only one would vary each time. These days such One-Factor-At-A-Time (OFAT) is obsolete as it is inefficient and not completely accurate. DOE, on the other hand, gives you the capability of studying multiple factors effect on an event all at the same time.

Main elements of DOE include blocking, randomization, and replication; blocking is used to confine randomization by conducting all the tests under one specific setting factor and then all of the tests under the other setting. Blocking is useful when randomizing a factor is not doable or too expensive. Randomization belongs to the sequence in which tests are executed. When a randomized sequence is used, the effects of unknown variables are eliminated. Replication, as the meaning suggests, refers to repeating a complete experimental treatment. Generated data of an experiment is valid only if it is repeatable.

The DOE training course for engineers will teach you what design of experiment to choose, how to execute the DOE, and how to analyze the DOE results. You also will get a chance to analyze different case studies and analyze them on paper and on the computer.

To sum up, through the DOE training course for engineers, you will gain sufficient knowledge and skills on how to design, perform, and analyze experiments in the industrial scales. You will learn about the principals of DOE and that how it is applied to improve the quality and efficiency of projects.

Who Should Attend?

The Design of Experiments (DOE) training for engineers is a 2-day course designed for:

  • Quality managers and engineers
  • SPC coordinators
  • Quality control technicians
  • Consultants
  • R&D managers, scientists, engineers, and technicians
  • Product and process engineers
  • Design engineers

 What Will You Learn?

Below are the main topics will be covered in this seminar (more details can be found under the full course description):

  • Overview of Design of Experiments
  • Planning a DOE
  • Problem Solving With DOE
  • Analyzing The DOE Results
  • Various Categories of DOEs (I)
  • Various Categories of DOEs (II)
  • Confounding
  • The Robust/Taguchi DOE
  • The Response Surface DOE

Design of Experiments (DOE) for Engineers

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