Please use this identifier to cite or link to this item:
|Title:||A MEWMA chart for a bivariate exponential distribution||Authors:||Xie, Y.J.
Gumbel's bivariate exponential distribution
|Issue Date:||2009||Citation:||Xie, Y.J., Xie, M., Goh, T.N. (2009). A MEWMA chart for a bivariate exponential distribution. IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management : 424-428. ScholarBank@NUS Repository. https://doi.org/10.1109/IEEM.2009.5373319||Abstract:||Control charts as one of the most well-known statistical process control (SPC) techniques have shown to be effective in process monitoring. Most of the existing studies in the area of the time-between-event (TBE) control charts have been focused on the univariate cases. In this paper, a MEWMA chart is constructed for monitoring the mean vector of the Gumbel's bivariate exponential TBE model. The average run length profile of the proposed chart is studied using simulation. Some guidelines for setting up an optimal MEWMA chart are provided. Finally, a numerical example is given to show the effectiveness of the MEWMA chart. ©2009 IEEE.||Source Title:||IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management||URI:||http://scholarbank.nus.edu.sg/handle/10635/72244||ISBN:||9781424448708||DOI:||10.1109/IEEM.2009.5373319|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Apr 15, 2019
checked on Apr 22, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.