Robust Procedures in Statistical Process Control

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