Djauhari, M. A. and Sagadavan, R. and Li, L. S. (2016) Monitoring multivariate process variability when sub-group size is small. Quality Engineering, 28 (4). pp. 429-440. ISSN 0898-2112
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Abstract
ABSTRACT: The current practice of multivariate process variability monitoring, when sub-group size is small, has nothing to do with probability of false alarm (PFA). Consequently, the reliability of the existing control charts remains undetermined. In this article, we propose a control chart which is reliable, very sensitive to the change in variance for small or moderate correlation, and provides a root causes analysis of an out-of-control signal. To illustrate these advantages, an industrial example is presented and the results are compared with those issued from the existing methods.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Control charts, Errors, Flowcharting, Normal distribution, Robustness (control systems), Average run lengths, Cholesky decomposition, Conditional variance, Multi-variate normal distributions, Probability of false alarm, Probability distributions |
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Science |
| ID Code: | 71991 |
| Deposited By: | Fazli Masari |
| Deposited On: | 23 Nov 2017 04:17 |
| Last Modified: | 23 Nov 2017 04:17 |
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