Title :
Design and Implementation of the Extended Exponentially Weighted Moving Average Control Charts
Author :
Tai, Shih-Hung ; Lin, Ching-I ; Chen, Yan-Haw
Author_Institution :
Dept. of Ind. Manage., Lunghwa Univ. of Sci. & Technol., Taoyuan, Taiwan
Abstract :
In this paper, we extend the exponentially weighted moving average (EWMA) control chart. This generalized chart, is called herein the generally weighted moving average (GWMA) control chart. A simulation is conducted to evaluate the average run length (ARL) to false alarm and to monitor the shift in the process mean or the changes in the process variability of the composite X-EWMA chart and a group of composite X-GWMA statistical control schemes. This study recommend the use of the X-GWMA chart, which is an extensive comparison shows that the X-GWMA control chart is more sensitive than the X-EWMA control chart on monitoring the small shifts in the process mean or changes in the process variability.
Keywords :
control charts; moving average processes; process monitoring; statistical process control; X-EWMA chart; X-GWMA statistical control; average run length; exponentially weighted moving average control chart; generally weighted moving average control chart; process mean; process monitoring; process variability; Control charts; Design engineering; Engineering management; Industrial control; Monitoring; Process control; Signal detection; Signal processing; Statistics; Technology management;
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
DOI :
10.1109/ICMSS.2009.5302801