Design of Experiments &Design of Experiments (DOE) Tutorial

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Table Of Contents
Designing Experiments.... 5
Design of Experiments (DOE) Overview .. 5
Planning.. 5
Screening ......... 5
Optimization...... 6
Verification........ 6
Modifying and Using Worksheet Data ...... 6
Factorial Designs ... 9
Factorial Designs Overview.. 9
Factorial Experiments in Minitab .. 10
Choosing a Factorial Design ........ 10
Create Factorial Design...... 11
Define Custom Factorial Design... 33
Preprocess Responses for Analyze Variability........... 35
Analyze Factorial Design.... 40
Analyze Variability .... 49
Factorial PlOTS........... 58
Contour/Surface Plots ........ 63
Overlaid Contour Plot ......... 67
Response Optimizer........... 70
Modify Design........... 77
Display Design.......... 81
References - Factorial Designs .... 82
Response Surface Designs ..... 83
Response Surface Designs Overview.... 83
Choosing a response surface design ..... 83
Create Response Surface Design.......... 84
Define Custom Response Surface Design....... 96
Select Optimal Design........ 98
Analyze Response Surface Design...... 106
Contour/Surface Plots ...... 113
Overlaid Contour Plot ....... 117
Response Optimizer......... 120
Modify Design......... 128
Display Design........ 130
References - Response Surface Designs ...... 131
Mixture Designs ........... 133
Mixture Designs Overview.......... 133
Mixture Experiments in Minitab .. 133
Choosing a Design ........... 134
Triangular Coordinate Systems.. 135
Create Mixture Design...... 136
Define Custom Mixture Design... 149
Select Optimal Design...... 152
Simplex Design Plot ......... 159
Factorial Plots......... 161

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Design of Experiments (DOE) Tutorial
Design of Experiments (DOE) techniques enables designers to determine simultaneously the individual and interactive effects of many factors that could affect the output results in any design. DOE also provides a full insight of interaction between design elements; therefore, it helps turn any standard design into a robust one. Simply put, DOE helps to pin point the sensitive parts and sensitive areas in designs that cause problems in Yield. Designers are then able to fix these problems and produce robust and higher yield designs prior going into production.
Here is a simple and practical example that walks you through the basic ideas behind DOE. This example is meant to illustrate the concept in a very easy way to understand DOE and enables you to go on and expand your knowledge on DOE further

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