Home > Getting Started > Six Sigma Functionality in iGrafx > Design and Run an Experiment with RapiDOE

Design and Run an Experiment with RapiDOE

PFSS00005.bmp 

This functionality is only available in Process for Six Sigma and above.

  1. On the Six Sigma menu, choose RapiDOE.

  2. In Available Factors section of the RapiDOE page, expand a factor category and select the check box next to at least two factors.

    When you select a factor, columns appear that let you change the high and low values during the experiment. You can also change the report header for the factor.

  3. Skip to step 7 if you are conducting a 2-level test.

  4. Click the Options button.click the General Factorial option, and click OK.

  5. In the RapiDOE dialog box, enter the number of levels for the desired factors in the #Levels column and a value for each level.

    If an attribute has a type such as YesNo, you cannot enter more levels than the type has members.

  6. In the Responses section, select a check box next to the response category to display the list of responses for that category.

  7. Select the check box next to at least one response name to select the response.

    Use the response column to customize the report header for the response.

  8. Enter the number of replications for the experiment and click OK.

    The factors and responses are exported to JMP (or MINITAB) to design the experiment set, then iGrafx Process for Six Sigma automatically imports the experiments.

  9. In the Run Experiment dialog box, click the Start button.

    As the simulations run, calculated response values appear in the appropriate columns.

  10. In the JMP Data Table Name dialog box, enter a worksheet name and click OK.

    The data is exported to a JMP worksheet where you can conduct detailed statistical analysis on the simulation results.

Related Topics

Path Analyzer

Fit Data

Control Process Flow with RapiDOE

Modify Process Parameters with RapiDOE

Log Transactions

Export Report

Generate FMEA

 

See Also

DOE and Simulation Methodology