One-sided synthetic control charts for ...
Type de document :
Article dans une revue scientifique: Article original
URL permanente :
Titre :
One-sided synthetic control charts for monitoring the multivariate coefficient of variation
Auteur(s) :
Nguyen, Thong [Auteur]
Laboratoire de Mathématiques de Bretagne Atlantique [LMBA]
Tran, Kim-Phuc [Auteur]
Castagliola, Philippe [Auteur]
Systèmes Logistiques et de Production [LS2N - équipe SLP ]
Laboratoire des Sciences du Numérique de Nantes [LS2N]
Celano, Giovanni [Auteur]
Università degli studi di Catania = University of Catania [Unict]
Lardjane, Salim [Auteur]
Laboratoire de Mathématiques de Bretagne Atlantique [LMBA]
Laboratoire de Mathématiques de Bretagne Atlantique [LMBA]
Tran, Kim-Phuc [Auteur]
Castagliola, Philippe [Auteur]
Systèmes Logistiques et de Production [LS2N - équipe SLP ]
Laboratoire des Sciences du Numérique de Nantes [LS2N]
Celano, Giovanni [Auteur]
Università degli studi di Catania = University of Catania [Unict]
Lardjane, Salim [Auteur]
Laboratoire de Mathématiques de Bretagne Atlantique [LMBA]
Titre de la revue :
Journal of Statistical Computation and Simulation
Nom court de la revue :
J. Stat. Comput. Simul.
Numéro :
89
Pagination :
1841-1862
Date de publication :
2019-06-01
ISSN :
0094-9655
Mot(s)-clé(s) en anglais :
Synthetic chart
Markov chain
multivariate coefficient of variation
steady-state
Markov chain
multivariate coefficient of variation
steady-state
Discipline(s) HAL :
Sciences de l'ingénieur [physics]
Résumé en anglais : [en]
Shewhart’s type control charts for monitoring the Multivariate Coefficient of Varia-
tion (MCV) have recently been proposed in order to monitor the relative variability
compared with the mean. These approaches are known ...
Lire la suite >Shewhart’s type control charts for monitoring the Multivariate Coefficient of Varia- tion (MCV) have recently been proposed in order to monitor the relative variability compared with the mean. These approaches are known to be rather slow in the detection of small or moderate process shifts. In this paper, in order to improve the detection efficiency, two one-sided Synthetic charts for the MCV are proposed. A Markov chain method is used to evaluate the statistical performance of the proposed charts. Furthermore, computational experiments reveal that the proposed control charts outperform the Shewhart MCV control chart in terms of the average run length to detect an out-of-control state. Finally, the implementation of the proposed chart is illustrated with an example using steel sleeves data.Lire moins >
Lire la suite >Shewhart’s type control charts for monitoring the Multivariate Coefficient of Varia- tion (MCV) have recently been proposed in order to monitor the relative variability compared with the mean. These approaches are known to be rather slow in the detection of small or moderate process shifts. In this paper, in order to improve the detection efficiency, two one-sided Synthetic charts for the MCV are proposed. A Markov chain method is used to evaluate the statistical performance of the proposed charts. Furthermore, computational experiments reveal that the proposed control charts outperform the Shewhart MCV control chart in terms of the average run length to detect an out-of-control state. Finally, the implementation of the proposed chart is illustrated with an example using steel sleeves data.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
Université de Lille
ENSAIT
Junia HEI
ENSAIT
Junia HEI
Collections :
Date de dépôt :
2023-06-20T11:06:13Z
2024-02-26T13:21:11Z
2024-02-29T11:49:44Z
2024-02-26T13:21:11Z
2024-02-29T11:49:44Z
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