Titre :

Optimal design and evaluation of adaptive EWMA monitoring schemes for Inverse Maxwell distribution

Auteur(s) :

Saghir, A. [Auteur]
Hu, X. L. [Auteur]
Tran, Kim-Phuc [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Song, Z. [Auteur]

Titre de la revue :

Computers & Industrial Engineering

Nom court de la revue :

Comput. Ind. Eng.

Numéro :

181

Pagination :

-

Date de publication :

2024-06-29

ISSN :

0360-8352

Mot(s)-clé(s) en anglais :

Monitoring schemes
Inverse Maxwell distribution
AEWMA
Markov chain
ARL

Discipline(s) HAL :

Sciences de l'ingénieur [physics]

Résumé en anglais : [en]

Monitoring schemes have been successfully implemented when the underlying data follows a non-normal distribution like the Inverse Maxwell (IM) distribution. The article proposes a new adaptive exponentially weighted moving ...
Lire la suite >Monitoring schemes have been successfully implemented when the underlying data follows a non-normal distribution like the Inverse Maxwell (IM) distribution. The article proposes a new adaptive exponentially weighted moving average (AEWMA) scheme, namely the AIMEWMA, to monitor the IM distributed process. The design parameters of the AIMEWMA scheme are determined via a Markov chain model and its performance is analyzed by its run length (RL) characteristics. The overall model ability is examined using some popular performance tools. The results show that, for most of shifts, the AIMEWMA scheme is more efficient than other available competitors. Moreover, some guidelines regarding the selection of the most effective scheme in practice have been discussed. The applicability of the new scheme is also presented on a real data set.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 :

2024-07-16T21:21:37Z
2024-09-24T14:03:42Z