Monitoring the Coefficient of Variation Using a Variable Sampling Interval EWMA Chart

Yeong, W.C. and Khoo, M.B.C. and Tham, L.K. and Teoh, W.L. and Rahim, M.A. (2017) Monitoring the Coefficient of Variation Using a Variable Sampling Interval EWMA Chart. Journal of Quality Technology, 49 (4). pp. 380-401. ISSN 0022-4065, DOI https://doi.org/10.1080/00224065.2017.11918004.

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Official URL: http://dx.doi.org/10.1080/00224065.2017.11918004

Abstract

In recent years, the coefficient of variation (CV) chart is receiving increasing attention in quality control. A number of studies demonstrated that adaptive charts could detect process shifts faster than traditional charts. This paper proposes an EWMA chart with variable sampling interval (VSI) to monitor the CV. Formulas for computing the performance measures of the VSI EWMA-γ2; chart are derived using Markov chain, where γ2 denotes the CV squared. Comparative studies show that the VSI EWMA-γ2 chart significantly outperforms other competing charts. An example using real manufacturing data shows that the VSI EWMA-γ2 chart performs well in applications.

Item Type: Article
Funders: Universiti Sains Malaysia (USM), Fundamental Research Grant Scheme (FRGS), no. 203/PMATHS/ 6711322, Universiti Tunku Abdul Rah-man (UTAR), Fundamental Research Grant Scheme (FRGS), no. FRGS/2/2014/SG04/UTAR/02/1
Uncontrolled Keywords: Average Time to Signal; Expected Average Time to Signal; Exponentially Weighted Moving Average Chart; Markov Chain
Subjects: H Social Sciences > HF Commerce > Business
Q Science > QA Mathematics
Divisions: Faculty of Business and Economics
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 30 Jul 2018 07:20
Last Modified: 30 Jul 2018 07:20
URI: http://eprints.um.edu.my/id/eprint/18937

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