The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON MATHEMATICS
Transactions ID Number: 42-564
Full Name: Ong Hong Choon
Position: Senior Lecturer
Age: ON
Sex: Male
Address: School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia
Country: MALAYSIA
Tel: 604-6534763
Tel prefix:
Fax: 604-6570910
E-mail address: hcong@cs.usm.my
Other E-mails: onghc@streamyx.com
Title of the Paper: Evaluating the Performances of Statistical and Neural Network Based Control Charts
Authors as they appear in the Paper: Hong Choon Ong, Kok Ban Teoh
Email addresses of all the authors: hcong@cs.usm.my, derickteoh_1128@hotmail.com
Number of paper pages: 11
Abstract: Control chart is used widely in many fields and traditional control chart is no longer adequate in detecting a sudden change in a particular process. So, run rules which are built in into Shewhart X bar control chart while Exponential Weighted Moving Average control chart (EWMA), Cumulative Sum control chart (CUSUM) and neural network based control chart are introduced to overcome the limitation regarding to the sensitivity of traditional control chart. In this study, the average run length (ARL) and median run length (MRL) of the types of control charts mentioned will be computed. It will be demonstrated that interpretations based only on the ARL can be misleading. Thus, MRL is also used to evaluate the performances of the control charts. From this study, neural network based control chart is found to possess a better performance than run rules of Shewhart X control chart, EWMA and CUSUM control chart.
Keywords: Control Chart; Median Run Length; Average Run Length
EXTENSION of the file: .pdf
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress:
IP ADDRESS: 118.101.181.146
