Analysis of an experiment aimed at improving the reliability of transmission centre shafts.
Smith (1991) presents a paper proposing the use of Weibull regression models to establish dependence of failure data (usually times) on covariates related to the design of the test specimens and test procedures. In his article Smith made the point that good experimental design was as important in reliability applications as elsewhere, and in view of the current interest in design inspired by Taguchi and others, we pay some attention in this article to that topic. A real case study from the Ford Motor Company is presented. Our main approach is to utilize suggestions in the literature for applying standard least squares techniques of experimental analysis even when there is likely to be nonnormal error, and censoring. This approach lacks theoretical justification, but its appeal is its simplicity and flexibility. For completeness we also include some analysis based on the proportional hazards model, and in an attempt to link back to Smith (1991), look at a Weibull regression model.
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Small & Medium Vehicle Centre Quality Office, Ford Motor Company Ltd., Essex.
D001336:Automobiles; D004738:Engineering; D016018:Least-Squares Analysis; D008422:Materials Testing / Q000706:statistics & numerical data*; D016016:Proportional Hazards Models; D016019:Survival Analysis