Statistical tolerancing using designed experiments in a noisy environment
COMPUTERS & INDUSTRIAL ENGINEERING, vol.44, pp.515-526, 2003 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 44
- Publication Date: 2003
- Doi Number: 10.1016/s0360-8352(02)00234-6
- Journal Name: COMPUTERS & INDUSTRIAL ENGINEERING
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.515-526
- TED University Affiliated: No
Abstract
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.