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 |