Titre :

A new omnibus SPRT chart for monitoring process mean and variability based on the average number of observations to signal

Auteur(s) :

Teoh, Jing Wei [Auteur]
Teoh, Wei Lin [Auteur]
Dong-A University
Hu, XueLong [Auteur]
Nanjing University of Posts and Telecommunications [Nanjing] [NJUPT]
Tran, Kim Phuc [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Dong-A University
Godase, Dadasaheb Ganesh [Auteur]

Titre de la revue :

Journal of Statistical Computation and Simulation

Nom court de la revue :

J. Stat. Comput. Simul.

Numéro :

95

Pagination :

49-69

Éditeur :

Taylor & Francis

Date de publication :

2024-10-18

ISSN :

0094-9655

Mot(s)-clé(s) en anglais :

Average number of observations to signal
average run length
joint monitoring control chart
optimization design
sequential probability ratio test
statistical process monitoring

Discipline(s) HAL :

Sciences de l'ingénieur [physics]

Résumé en anglais : [en]

The recent development of the omnibus sequential probability ratio test (OSPRT) chart marks a significant contribution to the advancement of joint monitoring schemes. As the OSPRT chart is a variable-sample-size control ...
Lire la suite >The recent development of the omnibus sequential probability ratio test (OSPRT) chart marks a significant contribution to the advancement of joint monitoring schemes. As the OSPRT chart is a variable-sample-size control chart, practitioners often wish to understand its inspection efficiency, i.e. the number of observations it samples before producing a signal. In this article, we propose two enhanced optimization designs for the OSPRT chart based on the average number of observations of signal (ANOS) and expected value of the ANOS (EANOS) metrics under deterministic and unknown shift sizes, respectively. The ANOS metric is central to our design as it perfectly combines both the average run length (ARL) and the average sample number. A comparative analysis reveals that the OSPRT chart outperforms four benchmarking control charts in terms of the ANOS and EANOS metrics. Finally, an implementation of the OSPRT chart is presented with a ball shear test dataset.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
ENSAIT
Junia HEI

Collections :

• Génie des matériaux textiles (GEMTEX) - ULR 2641

Équipe(s) de recherche :

Human-Centered Design

Date de dépôt :

2025-03-15T22:02:22Z
2025-03-26T14:24:10Z