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Title: On optimal setting of control limits for geometric chart
Authors: Xie, M. 
Goh, T.N. 
Kuralmani, V. 
Keywords: Average Run Length
Geometric Distribution
High-quality Process Control
Optimal Control Limits
Sensitivity Analysis
Statistical Process Control
Issue Date: Mar-2000
Citation: Xie, M.,Goh, T.N.,Kuralmani, V. (2000-03). On optimal setting of control limits for geometric chart. International Journal of Reliability, Quality and Safety Engineering 7 (1) : 17-25. ScholarBank@NUS Repository.
Abstract: Control charts based on geometric distribution have shown to be very useful in the monitoring of high yield manufacturing processes and other applications. It is well known that the traditional 3-sigma limits will give too many false alarms and the probability limits should be used. This paper shows that the average time to alarm may even increase at the beginning when the process is deteriorated. A new procedure is established for the setting of control limits so that the average run length is maximized when the process is at the normal level. Hence the chart sensitivity can be improved. For the derivation of the control limits in this new procedure, a simple adjustment factor is suggested so that the probability limits can be used after the adjustment. © World Scientific Publishing Company.
Source Title: International Journal of Reliability, Quality and Safety Engineering
ISSN: 02185393
Appears in Collections:Staff Publications

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