Data Mining for Production Scheduling

dc.contributor.author Olafsson, Sigurdur
dc.contributor.author Olafsson, Sigurdur
dc.contributor.department Industrial and Manufacturing Systems Engineering
dc.date 2019-03-07T22:00:09.000
dc.date.accessioned 2020-06-30T04:46:39Z
dc.date.available 2020-06-30T04:46:39Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 2003
dc.date.embargo 2018-09-12
dc.date.issued 2003-01-01
dc.description.abstract <p>Data mining is a fast growing field and many industrial engineering applications generate large amounts of data to which data mining techniques can be applied. In this paper we develop a data mining framework for production scheduling. This involves preprocessing of historic schedules into an appropriate data file, discovery of key scheduling concepts, and representation of the data mining results in a way that enables its use for job scheduling.</p>
dc.description.comments <p>This proceeding is published as Olafsson, Sigurdur. "Data Mining for Production Scheduling." In <em>Proceedings of the 2003 IIE Annual Conference</em>. May 17-21, 2003, Portland, Oregon. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/imse_conf/178/
dc.identifier.articleid 1152
dc.identifier.contextkey 12830072
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath imse_conf/178
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/44254
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/imse_conf/178/0-IISE_Permission.pdf|||Fri Jan 14 21:29:11 UTC 2022
dc.source.bitstream archive/lib.dr.iastate.edu/imse_conf/178/2003_Olafsson_DataMining.pdf|||Fri Jan 14 21:29:13 UTC 2022
dc.subject.disciplines Operational Research
dc.subject.keywords Data mining
dc.subject.keywords scheduling
dc.subject.keywords inductive learning
dc.subject.keywords decision trees
dc.subject.keywords dispatching rules
dc.title Data Mining for Production Scheduling
dc.type article
dc.type.genre conference
dspace.entity.type Publication
relation.isAuthorOfPublication 485e1458-0389-4fa4-bf89-a25dec27125d
relation.isOrgUnitOfPublication 51d8b1a0-5b93-4ee8-990a-a0e04d3501b1
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