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Robust Procedures in Statistical Process Control

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dc.contributor.author Suresh, R.P.
dc.date.accessioned 2015-04-23T09:34:07Z
dc.date.available 2015-04-23T09:34:07Z
dc.date.issued 2000
dc.identifier.uri http://hdl.handle.net/2259/462
dc.description National Conference on Quality Reliability & Management 2000 en_US
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher National Conference on Quality Reliability & Management en_US
dc.subject Robust Procedures en_US
dc.subject Statistical Process Control en_US
dc.subject Statistical Process Control en_US
dc.title Robust Procedures in Statistical Process Control en_US
dc.type Article en_US


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  • Journal Articles [25]
    This collection consists of published and unpublished scholarly articles of IIMK Community.

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