DAS - Intelligent scheduling systems for shipbuilding

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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-
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