A number of approaches have been proposed for applying statistical process control in short production runs. However little has been done to provide a methodology to compare and select from various statistical process control schemes or address setup approval, which is one of the most critical aspects of short production run. This research proposes a joint monitoring scheme that includes application of a combination of setup approval and self-starting scheme in short production run. The research also provides a methodology for selecting between setup approval and self-starting schemes based on robustness of these schemes to different levels of process shifts and capabilities. The scope of this research is limited to two setup approval schemes; Wheeler and Precontrol and two self starting schemes Q charts and Dynamic Exponentially weighted moving average charts. / Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Industrial and Manufacturing Engineering. / "December 2005."
| Identifer | oai:union.ndltd.org:WICHITA/oai:soar.wichita.edu:10057/756 |
| Date | 12 1900 |
| Creators | Jadhav, Sameer A. |
| Contributors | Weheba, Gamal |
| Source Sets | Wichita State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
| Format | 336993 bytes, application/pdf |
| Rights | Copyright Sameer A.Jadhav, 2005. All rights reserved. |
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