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dc.contributorVirginia Cooperative Extension
dc.contributor.authorQuesada-Pineda, Henry J.
dc.contributor.authorArias, Edgar
dc.date.accessioned2020-10-14T17:39:49Z
dc.date.available2020-10-14T17:39:49Z
dc.date.issued2020-09-29
dc.identifier.urihttp://hdl.handle.net/10919/100527
dc.description.abstractCreating value requires managers to master quantitative and qualitative techniques to document and analyze information used in the decision making process. Statistical Process Control (SPC) is a tool that allows administrators both in service and manufacturing industries to monitor process capability to ensure customer requirements are met efficiently and effectively.
dc.format.extent33 pages
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherVirginia Cooperative Extension
dc.relation.ispartofseriesPublication (Virginia Cooperative Extension); ANR-140
dc.rightsVirginia Cooperative Extension materials are available for public use, re-print, or citation without further permission, provided the use includes credit to the author and to Virginia Cooperative Extension, Virginia Tech, and Virginia State University.
dc.subjectStatistical Process Control
dc.subjectSBC
dc.titleStatistical Process Control: Applications and Examples for Forest Products Industries
dc.title.alternativeApplications and Examples for Forest Products Industries
dc.typeExtension publication
dc.coverage.stateVirginia
dc.coverage.countryUnited States
dc.description.notesNP
dc.identifier.urlhttps://www.pubs.ext.vt.edu/content/dam/pubs_ext_vt_edu/ANR/ANR-140/ANR-140-pdf.pdf
dc.date.accessed2020-09-29
dc.subject.cabtforestry practices
dc.subject.cabtstatistics
dc.subject.cabtinformation
dc.subject.cabtanalysis
dc.type.dcmitypeText


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