Statistical tolerancing using designed experiments in a noisy environment

We consider the method of designed experiments for statistical tolerance analysis, and study the impact of experimental error on its results.-It is observed that presence of random error in the experiment environment (e.g. laboratory) could introduce bias in the moment estimators and increases their-respective variances. We propose adjustments to the method that would reduce the bias as well as the variance of these estimators. A numerical example is presented.


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Citation Formats
G. Köksal, “Statistical tolerancing using designed experiments in a noisy environment,” COMPUTERS & INDUSTRIAL ENGINEERING, pp. 515–526, 2003, Accessed: 00, 2020. [Online]. Available: