One-sided Adaptive Truncated Exponentially Weighted Moving Average X Schemes for Detecting Process Mean Shifts - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Quality technology & quantitative management Année : 2022

One-sided Adaptive Truncated Exponentially Weighted Moving Average X Schemes for Detecting Process Mean Shifts

Résumé

One-sided type schemes are known to be more appropriate for monitoring a process when the direction of a potential mean shift can be anticipated. Furthermore, if the magnitude of the potential mean shift is unknown, it is desired to design a control chart to perform well over a wide range of shifts instead of only optimizing its performance in monitoring a particular mean shift level. The one-sided adaptive truncated exponentially weighted moving average (ATEWMA) X scheme recommended in this paper is a control chart that combines a Shewhart X scheme and a new one-sided EWMA X scheme together in a smooth way for rapidly detecting the upward (or downward) mean shifts. The basic idea of the recommended one-sided ATEWMA X scheme is to truncate the observations (i.e., the sample means X) first, and then to dynamically weight the past observations according to a suitable function of the current prediction error. This helps to improve the sensitivity of the proposed one-sided ATEWMA X scheme for detecting both small and
Fichier principal
Vignette du fichier
QTQM_rv1.pdf (1.05 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03764697 , version 1 (30-08-2022)

Identifiants

Citer

Fupeng Xie, Philippe Castagliola, Zhonghua Li, Jinsheng Sun, Xuelong Hu. One-sided Adaptive Truncated Exponentially Weighted Moving Average X Schemes for Detecting Process Mean Shifts. Quality technology & quantitative management, 2022, 19 (5), pp.533-561. ⟨10.1080/16843703.2022.2033404⟩. ⟨hal-03764697⟩
12 Consultations
32 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More