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

In: Advances in Econometrics, Operational Research, Data Science and Actuarial Studies

Author

Listed:
  • Hakan Eygü

    (Statistical Research, Ataturk University)

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.

Suggested Citation

  • Hakan Eygü, 2022. "Effect in Quality Control Based of Hotelling T2 and CUSUM Control Chart," Contributions to Economics, in: M. Kenan Terzioğlu (ed.), Advances in Econometrics, Operational Research, Data Science and Actuarial Studies, pages 99-115, Springer.
    • Handle: RePEc:spr:conchp:978-3-030-85254-2_7
    DOI: 10.1007/978-3-030-85254-2_7
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