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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shaoxi Wang Yeh, A.B. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Applied Statistics and Operations Research, Bowling Green State University, U.S.A (Yeh, A.B.) || College of Software and Microelectronics, Northwestern Polytechnical University, Xi'an, China (Shaoxi Wang) |
| Abstract | Process capability ultimately decides process quality level. Based on analyzing process capability index (PCI), Process capability may be effectively assured. For the multivariate manufacturing processes, tremendous difficulties are often encountered when one attempts to measure the process capability by directly extending the univariate approach. After analyzing the multivariate Cpm method (Chan et al. 1991), the paper presents a spatial multivariate PCI method, which can solve multivariate off-centered case and may provide references for assuring and improving process quality level while achieving overall evaluation of process quality. At last, examples for calculating multivariate PCI are given and the experimental results show that the systematic method presented is effective and actual. |
| Starting Page | 1443 |
| Ending Page | 1445 |
| File Size | 619812 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781424485017 |
| ISSN | 2157362X |
| e-ISBN | 9781424485031 |
| e-ISBN | 9781424485024 |
| DOI | 10.1109/IEEM.2010.5674321 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-07 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Correlation Systematics Manufacturing processes process Gaussian distribution multivariate Indexes Mathematical model off-center Equations process capability index |
| Content Type | Text |
| Resource Type | Article |
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