Design of Experiments

Posted in Operations and Supply Chain Terms, Total Reads: 298

Definition: Design of Experiments

Design of Experiments (DOE) is a method to find out the relation between factors affecting a process and the output of the process. It tries to build a cause & effect relationship so that the outcome of a process can be predicted under given pre-conditions. It is also called a quasi-experiment. To establish the relationship, a set of experiments are conducted and then the value of the output parameter is analyzed and interpreted.


Fig: Process, Inputs and Responses

The experimentation helps us in following ways:

• To determine the better alternative from the two alternative under the experimentation

• Identifying the significant and insignificant input factors

• Identifying controllable and uncontrollable input factors

• Reducing the variability in the output

• Minimizing, maximizing or targeting an output

• Improving the robustness, efficiency and effectiveness of a process

• Balancing the many input and output tradeoffs

Process of DOE includes following steps:

I. Define problem or problems

II. Identify the objective to be achieved

III. Brainstorm

IV. Design the experiments

V. Conduct experiment and collect data

VI. Analyze data

VII. Interpret results

VIII. Verify predicted results



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