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Identifying Sources of Variation in Sheet Metal Stamping

dc.contributor.authorMajeske, Karl D.en_US
dc.contributor.authorHammett, Patrick C.en_US
dc.date.accessioned2006-09-11T16:08:33Z
dc.date.available2006-09-11T16:08:33Z
dc.date.issued2003-01en_US
dc.identifier.citationMajeske, Karl D.; Hammett, Patrick C.; (2003). "Identifying Sources of Variation in Sheet Metal Stamping." International Journal of Flexible Manufacturing Systems 15(1): 5-18. <http://hdl.handle.net/2027.42/45507>en_US
dc.identifier.issn0920-6299en_US
dc.identifier.issn1572-9370en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45507
dc.description.abstractManufacturers using traditional process control charts to monitor their sheet metal stamping processes often encounter out-of-control signals indicating that the process mean has changed. Unfortunately, a sheet metal stamping process does not have the necessary adjustability in its process variable input settings to allow easily correcting the mean response in an out-of-control condition. Hence the signals often go ignored. Accordingly, manufacturers are unaware of how much these changes in the mean inflate the variance in the process output.en_US
dc.format.extent241977 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science+Business Mediaen_US
dc.subject.otherEngineeringen_US
dc.subject.otherManufacturing, Machines, Toolsen_US
dc.subject.otherOperation Research/Decision Theoryen_US
dc.subject.otherProduction/Logisticsen_US
dc.subject.otherAnalysis of Varianceen_US
dc.subject.otherDesigned Experimenten_US
dc.subject.otherDynamic Batch Meanen_US
dc.subject.otherSheet Metal Stampingen_US
dc.subject.otherVariation Reductionen_US
dc.titleIdentifying Sources of Variation in Sheet Metal Stampingen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelBusinessen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumThe University of Michigan Business School, 701 Tappan Street, Ann Arbor, MI, 48109-1234, USAen_US
dc.contributor.affiliationumTransportation Research Institute, The University of Michigan, 2901 Baxter Road, Ann Arbor, MI, 48109-2150, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45507/1/10696_2004_Article_5122944.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1023993806025en_US
dc.identifier.sourceInternational Journal of Flexible Manufacturing Systemsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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