Related Topics:
	Design Types

Reliability DOE

Unlike other design types, reliability designs are specifically intended to handle life data. Only one response (typically failure time) is measured, but the designs can accommodate data sets that include suspensions (right censoring) and/or uncertainty as to when the units failed (interval and/or left censoring), in addition to complete data sets in which all of the units under test failed and the failure time for each unit is known.

In contrast to traditional DOE techniques, which assume that response values at any treatment level are normally distributed, reliability DOE (R-DOE) uses the Weibull, lognormal or exponential distribution to analyze data. You can publish the fitted distribution as a model for use in other applications, if desired. In addition, the kinds of results and plots available may differ from those that are available with DOE using standard response data.

What's Changed? In the current version, reliability DOE is no longer identified as a separate "Design Type." To perform R-DOE, select any design type in a standard design folio and set the Response Type for one of the responses to Life Data. (See Adding, Removing and Editing Responses.)

The following topics include additional information on performing R-DOE in a design folio, including:

• Reliability design data types

• Changing the data type in a built design

• Specific R-DOE designs, including:

• • One factor reliability designs

  • Factorial reliability designs

  • Response surface method (RSM) reliability designs

• Publishing models from R-DOE results

• R-DOE minimum data requirements

The ReliaWiki resource portal provides more information about R-DOE at http://www.ReliaWiki.org/index.php/Reliability_DOE_for_Life_Tests.

Tip: If you wish to analyze life data from a prior experiment, considering using the free form folio, which does not require that you create an experiment design.

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