Titre :

The Shewhart-type RZ control chart for monitoring the ratio of autocorrelated variables

Auteur(s) :

Nguyen, H. D. [Auteur]
Nadi, Adel Ahmadi [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Tran, K. D. [Auteur]
Castagliola, Philippe [Auteur]
Nantes Université [Nantes Univ]
Celano, G. [Auteur]
Tran, Kim-Phuc [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]

Titre de la revue :

International Journal of Production Research

Nom court de la revue :

Int. J. Prod. Res.

Numéro :

61

Pagination :

6746-6771

Date de publication :

2023

ISSN :

0020-7543

Mot(s)-clé(s) en anglais :

Quality control
multivariate autoregressive model
control charts
anomaly detection
autocorrelated data

Discipline(s) HAL :

Sciences de l'ingénieur [physics]

Résumé en anglais : [en]

In many industrial manufacturing processes, the quality of products can depend on the relative amount between two quality characteristics X and Y. Often, this calls for the on-line monitoring of the ratio Z = X/Y as a ...
Lire la suite >In many industrial manufacturing processes, the quality of products can depend on the relative amount between two quality characteristics X and Y. Often, this calls for the on-line monitoring of the ratio Z = X/Y as a quality characteristic itself by means of a control chart. A large number of control charts monitoring the ratio have been investigated in the literature under the assumption of independent normal observations of the two quality characteristics. In practice, due to the high frequency in sensor data collection, both autocorrelation and cross-correlation between consecutive observations can exist for X and Y and should be modelled to protect against the false alarm rate inflation when implementing a control chart for monitoring the ratio Z = X/Y. In this paper, we tackle this problem by investigating the performance of the Phase II Shewhart-type RZ control chart monitoring the ratio of two normal variables whose relationship is captured by a bivariate time series autoregressive model VAR(1), which can also account for the cross-correlation between the two quality characteristics. With the numerical study, we discuss how the design and the statistical performance of the Shewhart-type RZ control chart change with the VAR(1) model's parameters. We also provide an example to illustrate the use of the Shewhart-type RZ control chart with bivariate time series of observations in a furnace process.Lire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
ENSAIT
Junia HEI

Collections :

• Génie des matériaux textiles (GEMTEX) - ULR 2641

Date de dépôt :

2023-06-20T12:09:34Z
2024-02-21T10:40:33Z