Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/105066
Title: Computing average run lengths of exponential EWMA charts
Authors: Gan, F.F. 
Chang, T.C.
Keywords: Average Run Length
Exponential Distribution
Poisson Distribution
Statistical Process Control
Issue Date: 2000
Source: Gan, F.F.,Chang, T.C. (2000). Computing average run lengths of exponential EWMA charts. Journal of Quality Technology 32 (2) : 183-187. ScholarBank@NUS Repository.
Abstract: An exponential EWMA chart is useful for monitoring the mean β of interarrival times of nonconforming items in many manufacturing processes. A program is presented for determining the average run length (ARL) profiles of one-sided or two-sided EWMA charts. The ARL is computed using an exact procedure. The ARL's over a range of β's can be obtained given the chart parameters. The ARL profiles provide a more comprehensive understanding of the performance of a chart.
Source Title: Journal of Quality Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/105066
ISSN: 00224065
Appears in Collections:Staff Publications

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