Title :

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

Author(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]

Journal title :

Journal of Statistical Computation and Simulation

Abbreviated title :

J. Stat. Comput. Simul.

Volume number :

95

Pages :

49-69

Publisher :

Taylor & Francis

Publication date :

2024-10-18

ISSN :

0094-9655

English keyword(s) :

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

HAL domain(s) :

Sciences de l'ingénieur [physics]

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
ENSAIT
Junia HEI

Collections :

• Génie des matériaux textiles (GEMTEX) - ULR 2641

Research team(s) :

Human-Centered Design

Submission date :

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