Research articles
ScienceAsia 46 (2020): 109-118 |doi:
10.2306/scienceasia1513-1874.2020.015
The exact solution of the average run length on a
modified EWMA control chart for the first-order
moving-average process
Yadpirun Supharakonsakun, Yupaporn Areepong*, Saowanit Sukparungsee
ABSTRACT: Statistical process control methods are widely used in several fields for monitoring and detecting process
problems. One of them is the control chart which is powerful and effective for monitoring many types of processes, and
its capability is usually measured using the average run length (ARL). In this article, we investigate explicit formulas
for both the one- and the two-sided ARL on a modified exponentially weighted moving-average (EWMA) control chart
for a first-order moving-average process with exponential white noise. The accuracy of the solution obtained with the
modified EWMA control chart was compared to the numerical integral equation method and extended to a comparative
performance with the standard EWMA control chart. The results show that the ARL obtained by the explicit formulas
and the numerical integral equation method are in close agreement. The performance comparison shows that the
modified EWMA control chart is dramatically more sensitive than the standard EWMA control chart for almost all of
the studied exponential smoothing parameters and magnitudes of shift size. To demonstrate its capability, the proposed
approach was applied to Thailand/US monthly foreign exchange rates data, yielding in good performance.
Download PDF
89 Downloads 1253 Views
| a |
Department of Applied Statistics, Faculty of Applied Science, King Mongkut?s University of Technology
North Bangkok, Bangkok10800 Thailand |
* Corresponding author, E-mail: yupaporn.a@sci.kmutnb.ac.th
Received 5 Sep 2019, Accepted 18 Feb 2020
|
