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
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;
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
DOI :
10.1109/IEEM.2009.5373327