The Improve phase aims to identify solutions to solve the cause of our problem. Introduction Once the root cause (or causes) identified in the phase Analysis, we have to implement actions to solve it. To do this, we find a whole range of tools to identify and test the...
The Design Of Experiments are used to structure the collection of information to assess the links between a variable to be explained Y, and one or more explanatory variables X. Introduction The Design Of Experiments allow to structure the collection of information to...
By changing one factor after another, we carry out a Design Of Experiments. This traditional approach that we all know does not meet the specificity we are looking for in modeling. Introduction In the traditional method of experimentation, only one factor is varied at...
In essence, complete plans are the most effective in establishing a causal relationship. Very used, they quickly find their limit as soon as the number of factors increases. Introduction The complete factorial plans are the first test planning tools that were...
Statistically the most interesting, the fractional plans were the first generation of the plans of experiments. They allow to associate a good quality of the results while limiting the number of tests. Introduction Fractional planes make it possible to drastically...
Developed in the middle of the 20th century, the plans of Plackett and Burman have the peculiarity of not taking into account the interactions and thus drastically reducing the number of experiments. Introduction R. L. Plackett and J. P. Burman published their study...
