Aoumfar Nakto. Economic Model for Variable Parameters MEWMA Control Chart. Doctoral Degree(Mathematics). King Mongkut's University of Technology Thonburi. KMUTT Library. : King Mongkut's University of Technology Thonburi, 2010.
Economic Model for Variable Parameters MEWMA Control Chart
Abstract:
The objectives of this research are to develop an economic model for a Multivariate
Exponentially Weighted Moving Average (MEWMA) control chart and Semi-Circle
MEWMA control chart. Variable parameters are the small sample size, the large sample
size, the short sampling interval, the long sampling interval, the warning limit and the
action limit. The genetic algorithm (GA) is used to examine the design parameters and
to minimize the expected hourly loss. Furthermore, the effects of model parameters on
the optimal design of MEWMA control chart and Semi-Circle MEWMA control chart
with variable parameters have been studied by sensitivity analysis. The results show that
the expected hourly loss of MEWMA control chart is minimum, the short sampling
interval and the long sampling interval ofMEWMA control chart are less than those of
Semi-Circle MEWMA control charts. The small sample size and the large sample size
of MEWMA control chart are greater than those of Semi-Circle MEWMA control
charts.
King Mongkut's University of Technology Thonburi. KMUTT Library