Quality control; Control Charts; Variable Parameter; Non-normality; Economic Statistical Design
Abstract :
[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.
Disciplines :
Business & economic sciences: Multidisciplinary, general & others
Author, co-author :
Seif, Asghar
Faraz, Alireza ; Université de Liège - ULiège > HEC-Ecole de gestion : UER > Statistique appliquée à la gestion et à l'économie
Saniga, Erwin
Language :
English
Title :
Economic Statistical Design of the VP( X) ̅ Control Charts for Monitoring a Process under Non-normality
Publication date :
02 November 2014
Journal title :
International Journal of Production Research
ISSN :
0020-7543
eISSN :
1366-588X
Publisher :
Taylor & Francis Ltd
Volume :
53
Issue :
14
Pages :
4218-4230
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE] IAP research network P7/06 of the Belgian Government (Belgian Science Policy)
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