Predicting Problems

dc.contributor.author	Meeker, William
dc.contributor.author	Doganaksoy, Necip
dc.contributor.author	Meeker, William
dc.contributor.author	Hahn, Gerald
dc.contributor.department	Statistics
dc.date	2021-05-06T20:42:42.000
dc.date.accessioned	2021-08-15T01:49:01Z
dc.date.available	2021-08-15T01:49:01Z
dc.date.copyright	Fri Jan 01 00:00:00 UTC 2010
dc.date.issued	2010-11-01
dc.description.abstract	<p>Manufacturers must frequently predict the number of future field failures for a product using past field-failure data, especially when an unanticipated failure mode is discovered in the field. Such predictions are needed to quantify future warranty costs and ensure a sufficient number of spare parts will be available to quickly repair failed units. In extreme cases, failure predictions are also needed to decide whether a recall is warranted and, if so, which segments of the product population must be recalled -- such as the units built during a specified period of time or those produced in a particular plant. Using an example of a fictitious company dealing with a failed part, this article will describe statistical methods for making these predictions.</p>
dc.description.comments	<p>This article is published as Meeker, W.Q., Doganaksoy, N., and Hahn, G.J. (2010), Predicting Problems. <em>Quality Progress </em>43, November, 52–55. Posted with permission.</p>
dc.format.mimetype	application/pdf
dc.identifier	archive/lib.dr.iastate.edu/stat_las_pubs/332/
dc.identifier.articleid	1330
dc.identifier.contextkey	22671882
dc.identifier.s3bucket	isulib-bepress-aws-west
dc.identifier.submissionpath	stat_las_pubs/332
dc.identifier.uri	https://dr.lib.iastate.edu/handle/20.500.12876/7wbOPeJv
dc.language.iso	en
dc.source.bitstream	archive/lib.dr.iastate.edu/stat_las_pubs/332/0-Response_from_ASQ.pdf\|\|\|Fri Jan 14 23:38:56 UTC 2022
dc.source.bitstream	archive/lib.dr.iastate.edu/stat_las_pubs/332/2010_Meeker_PredictingProblems.pdf\|\|\|Fri Jan 14 23:38:57 UTC 2022
dc.subject.disciplines	Manufacturing
dc.subject.disciplines	Probability
dc.subject.disciplines	Statistical Methodology
dc.subject.disciplines	Statistical Models
dc.title	Predicting Problems
dc.type	article
dc.type.genre	article
dspace.entity.type	Publication
relation.isAuthorOfPublication	a1ae45d5-fca5-4709-bed9-3dd8efdba54e
relation.isOrgUnitOfPublication	264904d9-9e66-4169-8e11-034e537ddbca

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