Please use this identifier to cite or link to this item: https://doi.org/10.1080/0094965031000105890
Title: Designs of moving average control chart
Authors: Wong, H.B.
Gan, F.F. 
Chang, T.C.
Keywords: Average run length
Integral equation
Shewhart chart
Statistical process control
Issue Date: Jan-2004
Citation: Wong, H.B., Gan, F.F., Chang, T.C. (2004-01). Designs of moving average control chart. Journal of Statistical Computation and Simulation 74 (1) : 47-62. ScholarBank@NUS Repository. https://doi.org/10.1080/0094965031000105890
Abstract: The cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) charts are often recommended for process monitoring when a quick detection of small or moderate sustained shifts in the process mean is desired. In general, the moving average (MA) chart is slightly less sensitive than the EWMA or CUSUM chart in detecting the intended shift but the overall performance is quite similar. The in-control run length distributions of the MA chart and the corresponding EWMA chart are nearly identical. The MA chart is much simpler to understand because it is based on the simple average, and the MA is used widely in the financial sector for smoothing stock and index trends. We develop a simple design procedure for the MA chart and the combined MA-Shewhart scheme for an easy implementation.
Source Title: Journal of Statistical Computation and Simulation
URI: http://scholarbank.nus.edu.sg/handle/10635/105085
ISSN: 00949655
DOI: 10.1080/0094965031000105890
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