DocumentCode
614859
Title
The three statistical control charts using ranked set sampling
Author
Abujiya, Mu´azu Ramat ; Lee, Moon Ho
Author_Institution
Dept. of Math. Sci., Univ. Teknol. Malaysia, Skudai, Malaysia
fYear
2013
fDate
28-30 April 2013
Firstpage
1
Lastpage
6
Abstract
This article investigated the performance of the three common statistical control charts, the Shewhart x̅ chart, cumulative sum (CUSUM) chart, and exponentially weighted moving average (EWMA) chart for location using ranked set sampling (RSS) instead of the traditional simple random sampling (SRS). Considering a normal population, a Monte Carlo simulation is carried out for several shift values for each of the control chart. The average run length (ARL) showed that the control charts based on RSS data are superior to their corresponding SRS counterparts with no significant difference between CUSUM and EWMA charts. There is an interesting increase in the sensitivity of RSS based Shewhart x̅ chart relative to other charts.
Keywords
Monte Carlo methods; control charts; sampling methods; CUSUM charts; EWMA charts; Monte Carlo simulation; RSS; SRS; Shewhart chart; average run length; cumulative sum chart; exponentially weighted moving average chart; normal population; ranked set sampling; simple random sampling; statistical control charts; Control charts; Equations; Gaussian distribution; Process control; Sociology; Statistics; Average run length; CUSUM chart; EWMA chart; Shewhart control chart; ranked set sampling;
fLanguage
English
Publisher
ieee
Conference_Titel
Modeling, Simulation and Applied Optimization (ICMSAO), 2013 5th International Conference on
Conference_Location
Hammamet
Print_ISBN
978-1-4673-5812-5
Type
conf
DOI
10.1109/ICMSAO.2013.6552684
Filename
6552684
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