Chapter V: Improve and control
Design of Experiments (DOE) is also referred to as Designed Experiments
The experiment is defined as the systematic procedure to identify an unknown effect or tabulate hypothesis or a known affect. DOE is a classical method for validating and estimating the relationship between responses and factors. DOE helps to analyze the data to achieve computable results to accept experiments and mark changes to accept experiment and accept changes to the processes to achieve the six sigma level. Six sigma explains about variation of key process variables called as input or X's in order to achieve result on project output or Y's. In Design of Experiment term, X's refers to factor and Y's refers to responses. The relationship of project Y's is formulated as y=f(x1, x2, x3…xn), , also Design of Experiment focuses on Improve phase in DMAIC and Optimize phase in IDOV.
DOE can be classified into
1. Basic Designs, where number of independent variables deals with is one.
2. Statistical Designs, where number of independent variables deals with are more the one.
Variables can be classified into three types, such as Independent, Dependent and Intermediate.
ANOVA and ANCOVA is a model used to define relationship between independent and dependent variables.
Six Sigma Design of Experiments