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
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;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5691018
