A DOE (Design Of Experiments) is structured, planned method, which is used to find the relationship between different factors that affect a tested subject and the different outputs. This is done with multiple factors on various levels combined in one experiment. It is used when analyzing complex problems with a lot of influence factors in once. Instead of testing each factor individually in a DOE more factors are variated at once to reduce the amount of test with the possibility to analyze interactions between factors. This is done by using test arrays. These arrays are full factorial (all combinations are tested) or fractional arrays (a part of a full factorial test setup to reduce the amount of tests).
This document is an introduction of the DOE functionality of Develve for more information how to conduct a DOE see How conduct a DOE.
Select DOE in the statistical mode drop-down menu to start a Design of experiment. The data of the input table is sorted according the factorial table (see example). With this option it is possible to conduct a DOE with various Full factorial array or Fractional arrays.
For calculating the statistical properties of a data set the data must entered in the input table 1. The data will sorted according the Factorial table 9. and the result will be displayed in the result array 3. and Graph image 2.
1. Input table
Input Table for the data to be analyzed. The amount of decimals behind the point can be changed in the box in the upper left corner.
9. Factorial table
Every factor (Columns in the Factorial table) and level (small and big with factor A) are sorted for calculating the influence of every factor and level. See table below.
A
B
C
D
E
F
G
All factors
Size
Size
Weight
Weight
Color
Color
Levels
small
Big
heavy
Light
Dark
white
10
10
10
10
20
20
20
20
30
30
30
30
40
40
40
40
50
50
50
50
60
60
60
60
70
70
70
70
80
80
80
40
Mean
45.00
35.00
55.00
40.00
50.00
45.00
45.00
n
8
4
4
4
4
4
4
Median
45.00
35.00
55.00
40.00
50.00
45.00
45.00
STDEV
24.49
23.80
23.80
25.82
25.82
28.87
23.80
2. Graphs
The graph of the data set is life updated after the data is entered. With the graph selector 7. the type of graph can be chosen. The graph can be made invisible or visible with the selector in the upper left corner Graph. By clicking on a graph a bigger version of the graph will be displayed in a pop-up Except the DOE response graph.
3. Result table
In this table the result will be displayed according the selection in the selection area 8. For comparing data sets put in the comparing column in the first row and this will be used for; t-test, F-test, etc.
Row 2-4 is for the tolerance borders and nominal value, these will be displayed in the graphs and used for; Cp, Cpk and the % out of tolerance calculation.
8. Selection area
In the selection area the calculation to be executed can be selected.