Abstract
Design of experiments is used extensively to achieve quality, but applications to reliability are less common. This is due to a number of reasons but mainly to the fact that the normal distribution, which underlies most experimental designs, is not a reasonable distribution for lifetimes. In this review article, we describe the problem of using designed experiments to model the distribution of lifetimes and, in particular, how the lifetimes depend on a set of predictor variables. We discuss a number of examples and present results using the most common statistical software packages.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 54-72 |
| Number of pages | 19 |
| Journal | Quality Engineering |
| Volume | 25 |
| Issue number | 1 |
| DOIs | |
| State | Published - Dec 1 2012 |
Keywords
- Weibull distribution
- Weibull probability plots
- Weibull regression
- censoring
- design of experiments
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Industrial and Manufacturing Engineering
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