DocumentCode
2650879
Title
Study on the Model of Analysis and Control of Parallel Measurement Systems
Author
Guang, HE Shu ; Qi Er-shi ; Li, LI
Author_Institution
Tianjin Univ., Tianjin
fYear
2007
fDate
20-22 Aug. 2007
Firstpage
633
Lastpage
638
Abstract
Parallel measurement systems are widely used in modern manufacturing systems. It is not feasible to analyze this kind of measurement systems with the traditional MSA (measurement system analysis) method. Thus two measurement analysis models for the parallel measurement systems are put forward. One is for the analysis of the variation between the instruments and the other is for the analysis of the time variation of one instrument. In the first model, the different measurement instruments are seen as the source of variation. With this MSA model, the GR&R (gauge repeatability and reproducibility) of the parallel measurement system can be calculated. If the GR&R is less than 15 percent, the instruments of the parallel measurement systems can be seen as one. And in the second model, the time is seen as the source of variation and the stability of an instrument is analyzed. Based on the result of MSA, a SPC (statistical process control) model for the parallel measurement systems is put forward and the variation of the products and different instruments can be controlled at the same time. At last, a case in mobile telephone assembly is studied.
Keywords
measurement systems; statistical process control; manufacturing systems; measurement system analysis; parallel measurement systems control; statistical process control model; Conference management; Control system analysis; Educational institutions; Engineering management; Helium; Information analysis; Instruments; Linearity; Process control; Reproducibility of results; measurement systems analysis; model; parallel measurement systems; statistical process control;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering, 2007. ICMSE 2007. International Conference on
Conference_Location
Harbin
Print_ISBN
978-7-88358-080-5
Electronic_ISBN
978-7-88358-080-5
Type
conf
DOI
10.1109/ICMSE.2007.4421916
Filename
4421916
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