Reliability: The Other Dimension of Quality Meeker, William Escobar, Luis Meeker, William
dc.contributor.department Statistics 2018-02-16T05:06:45.000 2020-07-02T06:56:02Z 2020-07-02T06:56:02Z 2003-07-01
dc.description.abstract <p>During the past twenty years, manufacturing industries, particularly in the United States, have gone through a revolution in the use of statistical methods for product quality. Tools for process monitoring and, particularly experimental design, are much more commonly used today to maintain and improve product quality. A natural extension of the revolution in product quality is to turn focus to product reliability, which is defined as “quality over time.” This has given rise to programs like Design for Six Sigma.</p> <p>In this paper we discuss the relationship between engineering quality and reliability and outline the role of statistics and statisticians in the field of reliability. We provide a brief introduction to the statistical tools used in engineering reliability and make some predictions for the future of statistics in engineering reliability.</p>
dc.description.comments <p>This article was published in <em>Quality Technology & Qualitative Management</em> 1 (2004): 1–25.</p>
dc.identifier archive/
dc.identifier.articleid 1024
dc.identifier.contextkey 6996877
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath stat_las_preprints/16
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 20:51:06 UTC 2022
dc.subject.disciplines Statistics and Probability
dc.subject.keywords Demonstration Test
dc.subject.keywords Maximum Likelihood
dc.subject.keywords Reliability Assurance
dc.subject.keywords Reliability Data
dc.subject.keywords Robust Design
dc.subject.keywords Warranty Data
dc.title Reliability: The Other Dimension of Quality
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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