Reference : Economic Statistical Design of the VP( X) ̅ Control Charts for Monitoring a Process u...
Scientific journals : Article
Business & economic sciences : Multidisciplinary, general & others
Economic Statistical Design of the VP( X) ̅ Control Charts for Monitoring a Process under Non-normality
Seif, Asghar mailto [> >]
Faraz, Alireza mailto [Université de Liège - ULiège > HEC-Ecole de gestion : UER > Statistique appliquée à la gestion et à l'économie >]
Saniga, Erwin [> >]
International Journal of Production Research
Taylor & Francis Ltd
Yes (verified by ORBi)
[en] Quality control; Control Charts; Variable Parameter; Non-normality; Economic Statistical Design
[en] Recent studies proved that variable parameters (VP) X ̅ control charts not only detects process mean shifts quicker than the classical X ̅ control chart but also has better economic properties. Furthermore, like most papers in control chart design, the fundamental assumption is that process data are normally distributed. Nevertheless, process quality variables may not be normal in application. In this paper, we investigate the economic statistical design of the VP X ̅ control chart when the underlying process distribution is non-normal. We illustrate the design procedure and perform a sensitivity analysis on the process and cost parameters based upon the degrees of skewness and kurtosis of the population using an industrial application.
Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS ; IAP research network P7/06 of the Belgian Government (Belgian Science Policy)

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