Diagnosing spatial variation patterns in manufacturing processes
This dissertation discusses a method that will aid in diagnosing the root causes of product and process variability in complex manufacturing processes when large quantities of multivariate in-process measurement data are available. As in any data mining application, this dissertation has as its obje...
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| Format: | Others |
| Language: | en_US |
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Texas A&M University
2004
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| Online Access: | http://hdl.handle.net/1969.1/122 |