The coefficient of variation chart with measurement error

Yeong, W.C. and Khoo, M.B.C. and Lim, S.L. and Teoh, W.L. (2017) The coefficient of variation chart with measurement error. Quality Technology & Quantitative Management, 14 (4). pp. 353-377. ISSN 1684-3703, DOI

Full text not available from this repository.
Official URL:


This paper proposes one-sided coefficient of variation (CV) charts with a linearly covariate error model. The one-sided CV charts are the downward and upward CV charts, which detect decreasing and increasing shifts, respectively. Ignoring the presence of measurement error leads to erroneous conclusions regarding the average run length, especially for small number of measurements per item. However, when measurement error is not ignored in computing the control limits, the performance between the CV charts with and without measurement error is similar. It is recommended to adopt the methods proposed in this paper as a general procedure since in the absence of measurement error, the control limits can be set by letting the size of the measurement error to be zero, whereas traditional methods which assume no measurement error will result in dubious results in the presence of measurement error. Finally, the proposed chart is applied on an illustrative example.

Item Type: Article
Funders: Universiti Sains Malaysia, Research University grant, number 1001/PMATHS/811263, and Fundamental Research Grant Scheme, number FRGS/2/2014/SG04/UTAR/02/1
Uncontrolled Keywords: Average run length; Coefficient of variation chart; Linearly covariate error model; Measurement error; Multiple measurements
Subjects: H Social Sciences > HF Commerce > Business
Q Science > Q Science (General)
Q Science > QA Mathematics
Q Science > QC Physics
Divisions: Faculty of Business and Economics > Dept of Operations and Management Information Systems
Faculty of Science > Institute of Mathematical Sciences
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 30 Jul 2018 06:56
Last Modified: 30 Jul 2018 06:56

Actions (login required)

View Item View Item