Design of Experiments (DOE) is one of the most powerful statistical tools to achieve an optimal process. This 2day class introduces the theory and application of Design of Experiments. Full factorial and fractional experiments will be taught in the class. Minitab 17, a statistical software package, will be used in the class to layout the experiment and analyze the data to strive for an optimal solution.
At the end of the class, the student will understand the theory of DOE and have the capability of running and analyzing an experiment in Minitab 17. Since DOE has numerous techniques (i.e. PlackettBurman, RSM, Central Composite, Mixture Designs), Quantum Leap Engineering also offers an intermediate and an advance class in DOE.
 Overview of Design of Experiments
 Introduction to Optimizing Solutions
 Determine main effects and interactions
 Introduction to Factorial Designs
 Full Factorial Designs
 Using Minitab to Analyze Full
 Factorial Designs
 Use Center Points to Determine Curvature
 Introduction to FractionalFactorial Designs
 Fractional Factorial Designs
 Using Minitab to Analyze Fractional Factorial Designs
 Screening Design of Experiments
 Design of Experiments Excercises in Minitab
 Create and Analyze DOE Experiments
Cost includes a 30 day access to Minitab 17 Software.
Cost: $1,195.00
Click here to register for the course

