Robust design of measurement systems

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dc.contributor.author Dasgupta, T en
dc.contributor.author Miller, Arden en
dc.contributor.author Wu, CF en
dc.date.accessioned 2012-03-07T21:10:12Z en
dc.date.issued 2010 en
dc.identifier.citation Technometrics 52(1):80-93 2010 en
dc.identifier.issn 0040-1706 en
dc.identifier.uri http://hdl.handle.net/2292/13318 en
dc.description.abstract An integrated approach for estimation and reduction of measurement variation (and its components)through a single parameter design experiment is developed. Systems with a linear signal-response relationship are considered. The noise factors are classified into a few distinct categories based on their impact on the measurement system. A random coefficients model that accounts for the effect of control factors and each category of noise factors on the signal-response relationship is proposed. A suitable performance measure is developed using this general model, and conditions under which it reduces to the usual dynamic signal-to-noise ratio are discussed. Two different data analysis strategies—response function modeling and performance measure modeling—for modeling and optimization are proposed and compared. The effectiveness of the proposed method is demonstrated with a simulation study and Taguchi’s drive-shaft experiment. en
dc.language English en
dc.publisher American Statistical Association and the American Society for Quality en
dc.relation.ispartofseries Technometrics en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/0040-1706/ en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Robust design of measurement systems en
dc.type Journal Article en
dc.identifier.doi 10.1198/TECH.2009.06112 en
pubs.issue 1 en
pubs.begin-page 80 en
pubs.volume 52 en
dc.rights.holder Copyright: American Statistical Association and the American Society for Quality en
pubs.end-page 93 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Article en
pubs.elements-id 164730 en
pubs.org-id Science en
pubs.org-id Statistics en
pubs.record-created-at-source-date 2012-02-09 en


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