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Charting techniques for monitoring a random shock process.
- Source :
-
Quality & Reliability Engineering International . Jul1999, Vol. 15 Issue 4, p295-301. 7p. 2 Charts, 5 Graphs. - Publication Year :
- 1999
-
Abstract
- A modified geometric model is proposed for fitting data generated from a process where most of the samples are conforming and occasional samples are non-conforming. These near-zero-defect processes are classified as processes subjected to random shocks. A graphical comparison of the goodness of fit of industrial process data using modified geometric and modified Poisson models is performed. The geometric model is found to provide a better fit than the Poisson model. Based on the modified geometric model, a charting scheme consisting of two charts is developed to monitor a process subjected to random shocks. A cumulative count of conforming chart is used to monitor the frequency of random shocks and a geometric chart is used to monitor the count of non-conformities. The geometric chart performs better than the Poisson chart in terms of false alarm rate. The performance of the scheme is also evaluated. Copyright © 1999 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 07488017
- Volume :
- 15
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Quality & Reliability Engineering International
- Publication Type :
- Academic Journal
- Accession number :
- 13380922
- Full Text :
- https://doi.org/10.1002/(SICI)1099-1638(199907/08)15:4<295::AID-QRE252>3.0.CO;2-7