Please use this identifier to cite or link to this item:<295::AID-QRE252>3.0.CO;2-7
Title: Charting techniques for monitoring a random shock process
Authors: Chang, T.C.
Gan, F.F. 
Issue Date: Jul-1999
Citation: Chang, T.C., Gan, F.F. (1999-07). Charting techniques for monitoring a random shock process. Quality and Reliability Engineering International 15 (4) : 295-301. ScholarBank@NUS Repository.<295::AID-QRE252>3.0.CO;2-7
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.
Source Title: Quality and Reliability Engineering International
ISSN: 07488017
DOI: 10.1002/(SICI)1099-1638(199907/08)15:4<295::AID-QRE252>3.0.CO;2-7
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