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Charting techniques for monitoring a random shock process

✍ Scribed by T. C. Chang; F. F. Gan

Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
96 KB
Volume
15
Category
Article
ISSN
0748-8017

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✦ Synopsis

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.

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