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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ma Yizhong Chen Jie Liu Liping |
| Copyright Year | 2007 |
| Description | Author affiliation: Nanjing Univ. of Sci. & Technol., Nanjing (Ma Yizhong; Chen Jie; Liu Liping) |
| Abstract | Measurement plays a significant role in helping an organization improve quality. With the greater reliance on quantitative measurements in modern manufacturing industry, the requirements for measurement system have dramatically increased. In the analysis of measured data, the variation of measurement result is composed of not only product variation, but also measurement variation. In order to evaluate, optimize and monitor manufacturing process, it is necessary to discriminate product variation and measurement variation from the measured data. In this paper, the intraclass correlation criterion for evaluating measurement system is provided on the basis of the model of process. Then the principal component analysis is used to isolate product variation and measurement variation from the measured data. Finally, an example from a six sigma project is presented to exhibit the implementing program. The results show that the program provides a simple method for isolating product and measurement variation and finding the relative usefulness of the measurement system. |
| Starting Page | 1644 |
| Ending Page | 1649 |
| File Size | 677577 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424412938 |
| DOI | 10.1109/GSIS.2007.4443550 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-11-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Manufacturing industries Technology management Manufacturing processes Data analysis Control charts Continuous production Intelligent manufacturing systems Monitoring Principal component analysis Six sigma |
| Content Type | Text |
| Resource Type | Article |
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