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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/148

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
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