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doi:10.22028/D291-25202
Titel: | Conserving corporate knowledge for crankshaft design |
VerfasserIn: | Kühn, Otto Höfling, Björn |
Sprache: | Englisch |
Erscheinungsjahr: | 1994 |
DDC-Sachgruppe: | 004 Informatik |
Dokumenttyp: | Forschungsbericht (Report zu Forschungsprojekten) |
Abstract: | A company's technical know-how which constitutes one of its most important assets often exists only in the heads of a small number of human experts. This limits the availability of this crucial resource and puts considerable strain on the respective experts. In cooperation with a German company^1 which produces motor-powered tools and vehicles a prototypical knowledge conservation system was developed which captures an individual expert's know-how about the design of crankshafts and makes it available to the whole design team. The knowledge-based system provides explanations of previous designs and supports unexperienced designers by suggesting viable alternatives. By checking the consistency between new cases and previously stated general design constraints, the system supports a continuous evolution of the stored knowledge which thus always reflects the current state of a company's technical know-how. |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291-scidok-42946 hdl:20.500.11880/25258 http://dx.doi.org/10.22028/D291-25202 |
Schriftenreihe: | Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x] |
Band: | 94-08 |
Datum des Eintrags: | 25-Nov-2011 |
Fakultät: | SE - Sonstige Einrichtungen |
Fachrichtung: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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RR_94_08.pdf | 12,26 MB | Adobe PDF | Öffnen/Anzeigen |
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