DAS - Intelligent scheduling systems for shipbuilding

Cited 13 time in webofscience Cited 0 time in scopus
  • Hit : 598
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorLee, Jae Kyuko
dc.contributor.authorLee, KJko
dc.contributor.authorHong, JSko
dc.contributor.authorKim, Wko
dc.contributor.authorKim, EYko
dc.contributor.authorChoi, SYko
dc.contributor.authorKim, HDko
dc.contributor.authorYang, ORko
dc.contributor.authorChoi, HRko
dc.date.accessioned2013-03-03T07:24:33Z-
dc.date.available2013-03-03T07:24:33Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1995-
dc.identifier.citationAI MAGAZINE, v.16, no.4, pp.78 - 94-
dc.identifier.issn0738-4602-
dc.identifier.urihttp://hdl.handle.net/10203/77766-
dc.description.abstractDaewoo Shipbuilding Company, one of the largest shipbuilders in the world, has experienced a great deal of trouble with the planning and scheduling of its production process. To solve the problems, from 1991 to 1993, Korea Advanced Institute of Science and Technology (KAIST) and Daewoo jointly conducted the Daewoo Shipbuilding Scheduling (das) Project. To integrate the scheduling expert systems for shipbuilding, we used a hierarchical scheduling architecture. To automate the dynamic spatial layout of objects in various areas of the shipyard, we developed spatial scheduling expert systems. For reliable estimation of person-hour requirements, we implemented the neural network-based person-hour estimator. In addition, we developed the paneled-block assembly shop scheduler and the long range production planner. For this large-scale project, we devised a phased development strategy consisting of three phases: (1) vision revelation, (2) data-dependent realization, and (3) prospective enhancement. The DAS systems were successfully launched in January 1994 and are actively being used as indispensable systems in the shipyard, resulting in significant improvement in productivity and visible and positive effects in many areas.-
dc.languageEnglish-
dc.publisherAMER ASSOC ARTIFICIAL INTELL-
dc.titleDAS - Intelligent scheduling systems for shipbuilding-
dc.typeArticle-
dc.identifier.wosidA1995TL70200009-
dc.identifier.scopusid2-s2.0-0029512626-
dc.type.rimsART-
dc.citation.volume16-
dc.citation.issue4-
dc.citation.beginningpage78-
dc.citation.endingpage94-
dc.citation.publicationnameAI MAGAZINE-
dc.contributor.localauthorLee, Jae Kyu-
dc.contributor.nonIdAuthorLee, KJ-
dc.contributor.nonIdAuthorHong, JS-
dc.contributor.nonIdAuthorKim, W-
dc.contributor.nonIdAuthorKim, EY-
dc.contributor.nonIdAuthorChoi, SY-
dc.contributor.nonIdAuthorKim, HD-
dc.contributor.nonIdAuthorYang, OR-
dc.contributor.nonIdAuthorChoi, HR-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
Appears in Collection
MT-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 13 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0