Product Component Genealogy Modeling and Field-Failure Prediction

dc.contributor.author King, Caleb
dc.contributor.author Hong, Yili
dc.contributor.author Meeker, William
dc.contributor.author Meeker, William
dc.contributor.department Statistics
dc.date 2018-02-16T22:00:15.000
dc.date.accessioned 2020-07-02T06:55:57Z
dc.date.available 2020-07-02T06:55:57Z
dc.date.issued 2014-10-01
dc.description.abstract <p>Many industrial products consist of multiple components that are necessary for system operation. There is an abundance of literature on modeling the lifetime of such components through competing risks models. During the life-cycle of a product, it is common for there to be incremental design changes to improve reliability, to reduce costs, or due to changes in availability of certain part numbers. These changes can affect product reliability, but are often ignored in system lifetime modeling. By incorporating this information about changes in part numbers over time (information that is readily available in most product production databases), better accuracy can be achieved in predicting time to failure, thus yielding more accurate fieldfailure predictions. This paper presents methods for estimating parameters and predictions for this generational model and a comparison with existing methods through the use of simulation. Our results indicate that the generational model has important practical advantages and outperforms the existing methods in predicting field failures.</p>
dc.description.comments <p>This preprint was published as Caleb King, Yili Hong, and William Q. Meeker, "Product Component Genealogy Modeling and Field-Failure Prediction".</p>
dc.identifier archive/lib.dr.iastate.edu/stat_las_preprints/129/
dc.identifier.articleid 1126
dc.identifier.contextkey 7454164
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath stat_las_preprints/129
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/90289
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/stat_las_preprints/129/2014_MeekerWQ_ProductComponentGenealogy.pdf|||Fri Jan 14 19:32:43 UTC 2022
dc.subject.disciplines Statistics and Probability
dc.subject.keywords competing risks
dc.subject.keywords component generation
dc.subject.keywords lifetime data
dc.subject.keywords multiple failure modes
dc.subject.keywords prediction intervals
dc.subject.keywords product reliability
dc.title Product Component Genealogy Modeling and Field-Failure Prediction
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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