Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ijpe.2011.05.002
Title: A new SPRT chart for monitoring process mean and variance
Authors: Ou, Y.
Wu, Z.
Goh, T.N. 
Keywords: Control chart
Quality control
Sequential Probability Ratio Test (SPRT)
Statistical Process Control (SPC)
Variable Sample Size (VSS)
Issue Date: Aug-2011
Citation: Ou, Y., Wu, Z., Goh, T.N. (2011-08). A new SPRT chart for monitoring process mean and variance. International Journal of Production Economics 132 (2) : 303-314. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ijpe.2011.05.002
Abstract: This article proposes a new control chart (called the ABS SPRT chart) for Statistical Process Control (SPC) based on Sequential Probability Ratio Test (SPRT). This chart is able to monitor the mean and variance of a variable x simultaneously by inspecting the absolute sample shift |x-μ0| (where μ0 is the in-control mean or target value of x). The ABS SPRT chart is designed by an optimization algorithm, aiming at minimizing the Average Extra Quadratic Loss (AEQL) over the process shift domain. The results of intensive performance studies show that the ABS SPRT chart not only uniformly outperforms the CUSUM chart with a Variable Sample Size (VSS) feature, but is also more effective than a 2-SPRT scheme which incorporates a lower-sided SPRT chart and an upper-sided one. From a holistic viewpoint, the ABS SPRT chart detects process shifts in mean and variance faster than the VSS CUSUM chart and 2-SPRT scheme by more than 30% and 13%, respectively. Noteworthily, the design of an ABS SPRT chart is relatively easier than that of a VSS CUSUM chart, and much simpler than the design of a 2-SPRT scheme. © 2011 Elsevier B.V. All rights reserved.
Source Title: International Journal of Production Economics
URI: http://scholarbank.nus.edu.sg/handle/10635/86994
ISSN: 09255273
DOI: 10.1016/j.ijpe.2011.05.002
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