DocumentCode
2143749
Title
Statistical Process Control based on state space model
Author
Nie, Bin ; Qiang, Liu ; Dan, Liao ; Jing, Ding
Author_Institution
Dep. of Management and Economics, Tianjin Univ., 300072, China
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
1
Lastpage
8
Abstract
It is difficult to apply traditional Statistical Process Control (SPC) technology as state variables are unmeasurable in small batch production process. A modified individual control chart based on state space model was proposed in this paper. The process state was estimated through particle filter technology. The median of state particles group was monitored by Average Moving Range (AMR) control chart to detect variation of normal distribution process. Results showed that the proposed chart was an effective tool to monitor small batch production process.
Keywords
Atmospheric measurements; Control charts; Mathematical model; Monitoring; Particle filters; Particle measurements; Process control; average moving range control chart; median; particle filter; state space model;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4244-7616-9
Type
conf
DOI
10.1109/ICISE.2010.5691018
Filename
5691018
Link To Document