Effect in Quality Control Based of Hotelling T2 and CUSUM Control Chart

Hakan Eygü ()
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Hakan Eygü: Statistical Research, Ataturk University

A chapter in Advances in Econometrics, Operational Research, Data Science and Actuarial Studies, 2022, pp 99-115 from Springer

Abstract: Abstract Today, quality control methods have been used quite extensively. In statistical surveys, the measurements of sampling units according to the variable under consideration are expensive in all sense and based on probability random sampling units according to same variable by means of a method which is not expensive at all. In this study, the researcher created Hotelling’s T2 control charts, a multivariate statistical process control method. The performances of simple random sampling and ranked set sampling methods were compared to one another using these control charts. A statistics program was performed to see the average run length values for the comparison of the sampling performances. As a result of the study, it is determined that the process is examined by statistical quality control methods rather than bivariate methods when there is a relationship among variables in the processes covering more than one quality variable. Further research in the RSS method proved to be more efficient when units are difficult and costly to measure.

Keywords: Statistical quality control; Control charts; Average run length; Sampling method (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:conchp:978-3-030-85254-2_7

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DOI: 10.1007/978-3-030-85254-2_7

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