Design of Experiment (DOE) is a powerful statistical technique for improving product or process designs and solving process or production problems.
DOE defines control changes to input variables in order to find cause and effect relationships with a minimum sample size. When analyzing a process, experiments are often used to evaluate which process inputs have a significant impact on the process output and what the target level the inputs should be to achieve a desired result (output).Design of Experiments (DOE) is also referred to as Designed Experiments or Experimental Design.
Why DOE training:
By passing this course, we will achieve the following goals with the following methods:
1-Reduce time to design/develop new products & processes,
2-Improve performance of existing processes,
3-Improve reliability and performance of products,
4-Achieve product & process robustness,
5-Perform evaluation of materials, design alternatives, setting component & system tolerances.
Training Course content:
Approaches to Experimentation, What is Design of Experiments, Definition of DOE, Why DOE, APPROACHES TO EXPERIMENTATION(Trail and Error Method, One Factor at a Time, Design of Experiments),Basic DOE, Factors, Levels, Responses, General Model of Process or System Interaction, Randomization, Blocking, Replication, Experiment Design Process, Types of DOE(One factorial, Two factorial, Fractional factorial),Screening experiments, Calculation of Alias.