Comparative Study of Adaptive Multivariate EWMA Control Charts

Authors

  • Ming Ha Lee Swinburne University of Technology, Sarawak Campus

DOI:

https://doi.org/10.23055/ijietap.2019.26.4.1500

Keywords:

Average Time to Signal, MEWMA Chart, Markov Chain, Variable Sample Sizes, Variable Sampling Intervals

Abstract

The purpose of this study is to compare the optimal statistical performances among the adaptive multivariate exponentially weighted moving average (MEWMA) control charts, i.e. variable sample sizes (VSS) chart, variable sampling intervals (VSI) chart, and variable sample sizes and sampling intervals (VSSI) chart. It is shown that the optimal VSI and VSSI MEWMA charts are more efficient than the optimal VSS MEWMA chart for detecting shifts in the process mean vector. In addition, it is also shown that all the optimal adaptive MEWMA charts perform better than the corresponding fixed sampling rate (FSR) MEWMA chart for detecting shifts in the process mean vector.

Author Biography

Ming Ha Lee, Swinburne University of Technology, Sarawak Campus

Faculty of Engineering, Computing and Science

Published

2019-07-31

How to Cite

Lee, M. H. (2019). Comparative Study of Adaptive Multivariate EWMA Control Charts. International Journal of Industrial Engineering: Theory, Applications and Practice, 26(4). https://doi.org/10.23055/ijietap.2019.26.4.1500

Issue

Section

Statistical Analysis