DocumentCode
2972264
Title
Proposed ̃ and S control charts for skewed distributions
Author
Khoo, M.B.C. ; Atta, A.M.A. ; Chen, C.-H.
Author_Institution
Sch. of Math. Sci., Univ. Sains Malaysia, Minden, Malaysia
fYear
2009
fDate
8-11 Dec. 2009
Firstpage
389
Lastpage
393
Abstract
This paper proposes a weighted variance method to compute the limits of the X ¿ and S charts for skewed distributions. The proposed charts extend the weighted variance X ¿ and R charts in by enabling a process from a skewed distribution with moderate and large sample sizes to be monitored efficiently, hence producing more favourable Type-I and Type-II error rates than the charts in. Note that the charts in are only intended to be used for small sample sizes. The Type-I and Type-II error rates computed show that the proposed charts outperform the existing heuristic charts, as well as those in for moderate and large sample sizes, involving cases with known and unknown parameters, when the distribution of a process is skewed.
Keywords
control charts; heuristic programming; R charts; S control charts; TYPE-I error rates; Type-II error rates; X control charts; existing heuristic charts; large sample sizes; skewed distributions; weighted variance method; Control charts; Distributed computing; Error analysis; Information management; Information technology; Monitoring; Robustness; Technology management; ̃ chart; S chart; skewness correction; weighted standard deviation; weighted variance;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-4869-2
Electronic_ISBN
978-1-4244-4870-8
Type
conf
DOI
10.1109/IEEM.2009.5373327
Filename
5373327
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