In:
Artificial Intelligence Evolution, Universal Wiser Publisher Pte. Ltd, ( 2020-05-28), p. 48-62
Abstract:
Measurement error always exists in quality control applications and may considerably affect the ability of control charts to detect an out-of-control situation. In this paper, we study the performance of the EWMA median chart using a Markov Chain approach with a linear covariate error model and a corrected formula for the distribution of the sample median. The performance is evaluated through the Average Run Length. Several figures and tables are presented and enumerated to show the statistical performance of the EWMA median control chart for different sources of measurement errors. The positive effect of taking multiple measurements for each item in a subgroup on the performance of the EWMA median chart is also investigated. An example illustrates the use of this study is introduced. The numerical simulation shows that the measurement errors have a negative influence on the proposed chart.
Type of Medium:
Online Resource
ISSN:
2717-5952
,
2717-5944
DOI:
10.37256/aie.112020401
Language:
Unknown
Publisher:
Universal Wiser Publisher Pte. Ltd
Publication Date:
2020
