Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8495
Title: An adaptive CUSUM chart with single sample size for monitoring process mean and variance
Authors: Ou, Y
Wu, Z
Lee, KM 
Wu, K
Keywords: Quality control
Statistical process control
Average extra quadratic loss (AEQL)
Variable sample size and sampling intervals (VSSI)
Issue Date: 2013
Source: Quality and reliability engineering international, 2013, v. 29, no. 7, p. 1027-1039 How to cite?
Journal: Quality and reliability engineering international 
Abstract: This article proposes an adaptive absolute cumulative sum chart (called the adaptive ACUSUM chart) for statistical process control. The new development includes the variable sampling interval (VSI), variable sample size (VSS) and VSS and interval (VSSI) versions, all of which are highly effective for monitoring the mean and variance of a variable x by inspecting the absolute sample shift x m0 j j (where m0 is the in-control mean or target value of x). While the adaptive ACUSUM chart is a straightforward extension of the ABS CUSUM chart developed by Wu, et al., it is much more effective than all other adaptive CUSUM charts. Noteworthily, the superiority of VSI ACUSUM chart over the best adaptive CUSUM chart in literature is about 35% from an overall viewpoint. Moreover, the design and implementation of the adaptive ACUSUM chart are much simpler than that of all other adaptive CUSUM schemes. All these desirable features of the adaptive ACUSUM chart may be attributable to the use of a single sample size (n = 1). Another quite interesting finding is that the simpler VSI ACUSUM chart works equally well as the more complicated VSSI ACUSUM chart.
URI: http://hdl.handle.net/10397/8495
ISSN: 0748-8017(print)
DOI: 10.1002/qre.1454
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