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Evaluation of different DEWMA schemes for monitoring the ratio of two normal random variables.

Authors :
Hu, Xuelong
Zhao, Yitian
Sun, Guan
Zhang, Jiujun
Jiang, Chao
Huang, Xingfang
Source :
Journal of Computational & Applied Mathematics. Oct2024, Vol. 449, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

In many fields such as baking industry and cosmetic factory, the ratio of two normal random variables (RZ) is one of the key quality characteristics that needs to be monitored. In this paper, we study the properties of three double exponentially weighted moving average (DEWMA) schemes for monitoring the RZ. The run length (RL) properties, average run length (ARL) and standard deviation of run length (SDRL), and charting parameters of the proposed DEWMA RZ schemes are simulated for different correlation parameter between the two normal variables. These numerous simulation results are presented in tables and figures to make comparisons with the existing exponentially weighted moving average (EWMA) RZ scheme. The comparisons show that the proposed DEWMA RZ schemes are more effective than the EWMA RZ in detecting small changes. Additionally, the proposed three one-sided DEWMA RZ schemes' properties are compared in detail. A food industry example details the implementation of the proposed RZ schemes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03770427
Volume :
449
Database :
Academic Search Index
Journal :
Journal of Computational & Applied Mathematics
Publication Type :
Academic Journal
Accession number :
177653499
Full Text :
https://doi.org/10.1016/j.cam.2024.115994