Experiments for reliability achievement

Steven E. Rigdon; Brandon R. Englert; Isaac A. Lawson; Connie M. Borror; Douglas Montgomery; Rong Pan

doi:10.1080/08982112.2013.733611

Experiments for reliability achievement

Steven E. Rigdon, Brandon R. Englert, Isaac A. Lawson, Connie M. Borror, Douglas Montgomery, Rong Pan

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

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	https://doi.org/10.1080/08982112.2013.733611
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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10.1080/08982112.2013.733611

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AU - Pan, Rong

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KW - censoring

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Experiments for reliability achievement

Abstract

Keywords

ASJC Scopus subject areas

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