Multivariate Statistical Quality Control Based on Ranked Set Sampling

Hakan Eygü, M SuphiÖzçomak

Abstract


The sample of the study was formed using simple random sampling, ranked set sampling, extreme ranked set sampling and median ranked set sampling. At the end of this process, the researcher created Hotelling’s T2 control charts, a multivariate statistical process control method. The performances of the sampling methods were compared to one another using these control charts. A simulation was performed to see the average run-length values for Hotelling’s T2 control charts, and these findings were also used for the comparison of the sampling performances.

At the end of the study, the researcher formed a sample using median ranked set sampling and created the Hotelling’s T2 control chart. As a result of this operation, the researcher found that there was an out-of-control signal in the process, while there was no such signal in other sampling methods. When the average run-length values obtained from Hotelling’s T2 control charts were compared, it was seen that a shift in the process was detected by the ranked set sampling earlier, when compared to other sampling methods. This paper it can be said that the methods used are unique to the literature because they are applied to multivariate data.

Keywords: Statistical quality control, Multivariate control charts, Hotelling T2control charts, Ranked set sampling, average run length

How to cite this article: Eygü H, SuphiÖzçomak M. Multivariate Statistical Quality Control Based on Ranked Set Sampling. J Adv Res Qual Control Mgmt 2016; 1(1): 15-23.


Keywords


Statistical quality control; multivariate control charts; Hotelling T2 control charts; ranked set sampling; average run length

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