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Saowanit Sukparungsee. The analysis of average run length of modified exponentially weighted moving average control chart using the Markov chain approach. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2025.
The analysis of average run length of modified exponentially weighted moving average control chart using the Markov chain approach
Name: Apitad Kraichok
Organization :
King Mongkut's University of Technology North Bangkok. Faculty of Applied Science
Email :
augeapitad@hotmail.com
Name: Yupaporn Areepong
Organization :
King Mongkut's University of Technology North Bangkok. Faculty of Applied Science
Email :
yupaporn.a@sci.kmutnb.ac.th
Name: Saowanit Sukparungsee
Organization :
King Mongkut's University of Technology North Bangkok. Faculty of Applied Science
Email :
saowanit.s@sci.kmutnb.ac.th
keyword:
Average run length
LCSH:
Process control
-- Statistical methods
LCSH:
Quality control
-- Charts, diagrams, etc.
LCSH:
Markov processes
Abstract:
This research presents a method for calculate and analysis the Average Run Length (ARL) of a Modified Exponentially Weighted Moving Average (MEWMA) control chart using the Markov Chain Approach (MCA). The MEWMA control chart was selected for this study because it is an enhancement of the Exponentially Weighted Moving Average (EWMA) control chart, which is known for its sensitivity in detecting small shifts in the process mean. The MEWMA chart inherits this strength and offers greater flexibility in parameter adjustment, making it suitable for various types of data. The MCA is a technique based on the principle of state transitions between the In-Control and Out-of-Control states. It is particularly suitable for ARL calculation, as it effectively models the behavior of control charts, which are used to detect shifts in process data over time. The results of this research demonstrate that the ARL calculated using the MCA method is both accurate and efficient compared to the ARL obtained via the Monte Carlo Simulation method, under the assumption that the process data are normally distributed and independent.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2025
Modified:
2026-01-08
Issued:
2026-01-08
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Thailand Section. Antennas and Propagation/Electron Devices/Microwave Theory and Techniques Joint Chapter, Electrical Engineering/Electronics, Computer, Telecommunications, and Information Technology Association, and King Mongkut's University of Technology North Bangkok. The 5th Research, Invention and Innovation Congress (RI2C 2025) (pp.225-231). Bangkok : IEEE Thailand Section
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.027191 วินาที
Apitad Kraichok
| Title | Contributor | Type |
|---|---|---|
| Explicit formulas of average run length for triple moving average control chart to monitor changes in mean parameter of normal and non-normal process
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Apitad Kraichok.;Yupaporn Areepong.;Saowanit Sukparungsee. | บทความ/Article | |
| The analysis of average run length of modified exponentially weighted moving average control chart using the Markov chain approach
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Apitad Kraichok;Yupaporn Areepong;Saowanit Sukparungsee | บทความ/Article |
Yupaporn Areepong
Saowanit Sukparungsee