Overview – DOE Course

Design of Experiments is to observe and analyze the outputs by manupulating the inputs of a process or system. Experimental studies has an significant role in product and process development. Design of Experiments was first developed by R.A Fisher and his team in the 1920s. Design of Experiments was first developed by R.A Fisher and his team in the 1920s. Also, Variance Analysis (ANOVA) technique, which is used to measure whether there are significant differences between the means of the data groups, has been developed at 1925 as well.

Topics such as Basic Statistics, ANOVA, Hypothesis Testing, Full Factorial, Fractional Factorial, Creating Design Experiments, Response Surface will be covered in this course.

The goal at the end of DOE Course is to ensure that the Design of Experiments method, which is one of the effective methods of 6 Sigma, can be used in data relations analysis, modeling and optimization studies.

Content 

  • Basic Statistics
  • Histogram, Normal Distribution
  • Variance, Standard Deviation
  • Variation Coefficient
  • Minitab 17 Heelp and Support Menus
  • Worksheet
  • Data Types
  • Graphics
    • Main Effects Plot
    • Multi-vari Chart
    • Interaction Plot
  • Correlation – Regression
  • Analysis of Variance (ANOVA)
  • DOE
    • Full Factorial Experiments
    • Balanced Anova
    • Create DOE
    • Fractional Factorial Design
    • Response Surface Design
    • Taguchi Design
  • DOE Simulation via Gemba Tools

Certification

Participants who are successful in the exams and assignments to be made during the program are entitled to receive the “Achievement Certificate of DOE”. Participants who lead a Black Belt project are additionally entitled to receive the “Attendance Certificate of DOE”.