1. UKM Learning and Research Repository
  2. PHD Thesis / Tesis PHD
  3. Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat
Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/519381
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNababan Erna Budhiarti-
dc.date.accessioned2023-10-17T08:11:56Z-
dc.date.available2023-10-17T08:11:56Z-
dc.date.issued2010-
dc.identifier.otherukmvital:3698-
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/519381-
dc.language.isoeng-
dc.publisherUKM, Bangi-
dc.relationFaculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat-
dc.rightsUKM-
dc.subjectArtificial intelligence - Industrial applications-
dc.subjectExpert System(Computer Science) -- Industrial applications-
dc.subjectProduction scheduling-
dc.titlePredictive and reactive algorithms for job shop scheduling problems-
dc.typetheses-
dc.identifier.callnotesis Q334.N334 2010-
Appears in Collections:Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat

Files in This Item:
There are no files associated with this item.
Show simple item record Recommend this item


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.