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Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/148
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| Title: | Robust Procedures in Statistical Process Control |
| Authors: | Suresh, R.P. |
| Keywords: | Robust Procedures
Statistical Process Control
Sampling Plans |
| Issue Date: | 2000 |
| Publisher: | National Conference on Quality Reliability & Management |
| Abstract: | Many Statistical Process Control (SPC) techniques such as Control charts, Acceptance Sampling plans and Process Capability, require that the quality characteristic of interest follow a normal distribution. However in many applications of Acceptable Sampling Plans, the distribution of the quality characteristic is not known. Recently, Suresh and Ramanathan (1997) proposed a sampling plan when the distribution of the quality characteristic belongs to a class of distributions, which include a wide a range of symmetric distributions. In this paper, we review this method and examine whether the procedure is robust in the class of symmetric distributions. |
| Description: | National Conference on Quality Reliability & Management 2000 |
| URI: | http://hdl.handle.net/123456789/148 |
| Appears in Collections: | Journal Articles
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| Robust.pdf | | 1131Kb | Adobe PDF | View/Open |
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