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Control Charts for Controlling Variability of Non-Normal Processes

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  • Das Nandini

    (SQC & OR Unit, Indian Statistical Institute, 203 B T Road, Kolkata 700108, India.)

Abstract

Control charts represent a very effective tool used for reducing process variability by early detection of the occurrence of assignable causes of variation. -charts are applied to detect changes in process mean whereas S-charts are used to detect the same in process variability. Both charts are generally based on the normality assumption. The S-chart utilizes an unbiased estimator of the population standard deviation . However, it is highly affected by any violation of the normality assumption. In this paper, we propose some alternatives of S-charts based on some robust estimate of scale parameters. We will also illustrate the performance of the proposed control chart.

Suggested Citation

  • Das Nandini, 2011. "Control Charts for Controlling Variability of Non-Normal Processes," Stochastics and Quality Control, De Gruyter, vol. 26(2), pages 121-131, January.
    • Handle: RePEc:bpj:ecqcon:v:26:y:2011:i:2:p:121-131:n:4
    DOI: 10.1515/EQC.2011.012
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