Title :

One-sided Shewhart control charts for monitoring the ratio of two normal variables in short production runs

Author(s) :

Tran, Kim Duc [Auteur]
Dong-A University
Khaliq, Qurat-Ul-Ain [Auteur]
Nadi, Adel Ahmadi [Auteur]
École nationale supérieure des arts et industries textiles [ENSAIT]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Nguyen, Thi Hien [Auteur]
Dong-A University
Analyse, Géométrie et Modélisation [AGM - UMR 8088]
Tran, Kim-Phuc [Auteur]
Génie et Matériaux Textiles [GEMTEX]
École nationale supérieure des arts et industries textiles [ENSAIT]

Journal title :

Journal of Manufacturing Processes

Abbreviated title :

J. Manuf. Process.

Volume number :

69

Pages :

273-289

Publication date :

2021-09-17

ISSN :

1526-6125

English keyword(s) :

Statistical process control
Short production runs
Quality control

HAL domain(s) :

Sciences de l'ingénieur [physics]

English abstract : [en]

Monitoring the ratio of two normal random variables plays an important role in several manufacturing environments. In addition, the traditional control charts that have been developed for infinite production horizons can ...
Show more >Monitoring the ratio of two normal random variables plays an important role in several manufacturing environments. In addition, the traditional control charts that have been developed for infinite production horizons can not function effectively to detect anomalies in short production runs. In this paper, we tackle this problem by proposing two one-sided Shewhart-type charts to monitor the ratio of two normal random variables for a finite horizon production. The statistical performance of the proposed charts is investigated using the truncated average run length as a performance measure in short production runs. In order to help the quality practitioner to implement these control charts, we have provided ready-to-use tables of the control limit parameters. An illustrative example from the food industry is given for illustration.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
ENSAIT
Junia HEI

Collections :

• Génie des matériaux textiles (GEMTEX) - ULR 2641

Submission date :

2023-06-20T11:54:47Z
2024-03-19T07:46:30Z