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dc.creatorPerazzoli, Victor
dc.date.available2011-02-18T20:32:17Z
dc.date.issued2000-08
dc.identifier.urihttp://hdl.handle.net/2346/14097en_US
dc.description.abstractIn a manufacturing operation data are collected and added a unit of measurement to become information. It is then analyzed through a theoretical framework to become knowledge. Once data has become knowledge, it is used to increase the probability of making good decisions. These decisions allow to predict, and therefore to manage. There are infinite amounts of data that can be collected from a manufacturing operation. But only certain type of data can be useful to help manage and increase the probability of making good decisions. With the use of knowledge, it is decided which of the infinite mass of data are important for use.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherTexas Tech Universityen_US
dc.subjectQuality control -- Chartsen_US
dc.subjectIndustrial productivity -- Measurementen_US
dc.subjectProcess control -- Statistical methodsen_US
dc.titleProductivity control and analysis from the statistical method viewpoint
dc.typeThesis
thesis.degree.nameM.S.S.E.M.
thesis.degree.levelMasters
thesis.degree.disciplineSystems and Engineering Management
thesis.degree.grantorTexas Tech University
thesis.degree.departmentSystems and Engineering Management
thesis.degree.departmentEngineering
dc.degree.departmentSystems and Engineering Managementen_US
dc.rights.availabilityUnrestricted.


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