DocumentCode :
2735884
Title :
Cumulative Count of Conforming Chart with Variable Sampling Intervals for Markov Dependent Production Processes
Author :
Chen, Pei-Wen ; Cheng, Chuen-Sheng
Author_Institution :
Yuan-Ze Univ., Taoyuan
fYear :
2007
fDate :
5-7 Sept. 2007
Firstpage :
182
Lastpage :
182
Abstract :
The cumulative count of conforming (CCC) chart is received amount of attention for automatically manufacturing processes recently. The CCC chart with variable sampling intervals (CCCVSI) has shown to be more efficient than the conventional CCC chart with fixed sampling interval (CCCFSI). In all of these studies, the production process is assumed to follow an independent and identically distributed Bernoulli pattern. However, it is common that the process characteristics become dependent in realistic situations, particularly when the production is automated. In this research, a variable sampling interval procedure of the CCC chart is developed for a serially dependent process and the new scheme is more suitable for the modern manufacturing production processes.
Keywords :
Markov processes; control charts; manufacturing processes; sampling methods; statistical process control; Markov dependent manufacturing production processes; control charts; cumulative count of conforming chart; serially dependent process; variable sampling intervals; Computerized monitoring; Control charts; Engineering management; Industrial engineering; Inspection; Manufacturing automation; Manufacturing processes; Production; Sampling methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
Type :
conf
DOI :
10.1109/ICICIC.2007.233
Filename :
4427827
Link To Document :
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