Identifying Sources of Variation in Sheet Metal Stamping
dc.contributor.author | Majeske, Karl D. | en_US |
dc.contributor.author | Hammett, Patrick C. | en_US |
dc.date.accessioned | 2006-09-11T16:08:33Z | |
dc.date.available | 2006-09-11T16:08:33Z | |
dc.date.issued | 2003-01 | en_US |
dc.identifier.citation | Majeske, 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.issn | 0920-6299 | en_US |
dc.identifier.issn | 1572-9370 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/45507 | |
dc.description.abstract | Manufacturers 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.extent | 241977 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers; Springer Science+Business Media | en_US |
dc.subject.other | Engineering | en_US |
dc.subject.other | Manufacturing, Machines, Tools | en_US |
dc.subject.other | Operation Research/Decision Theory | en_US |
dc.subject.other | Production/Logistics | en_US |
dc.subject.other | Analysis of Variance | en_US |
dc.subject.other | Designed Experiment | en_US |
dc.subject.other | Dynamic Batch Mean | en_US |
dc.subject.other | Sheet Metal Stamping | en_US |
dc.subject.other | Variation Reduction | en_US |
dc.title | Identifying Sources of Variation in Sheet Metal Stamping | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | The University of Michigan Business School, 701 Tappan Street, Ann Arbor, MI, 48109-1234, USA | en_US |
dc.contributor.affiliationum | Transportation Research Institute, The University of Michigan, 2901 Baxter Road, Ann Arbor, MI, 48109-2150, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/45507/1/10696_2004_Article_5122944.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1023/A:1023993806025 | en_US |
dc.identifier.source | International Journal of Flexible Manufacturing Systems | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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