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Report (Bericht) zugänglich unter
URN: urn:nbn:de:bsz:291-scidok-42946
URL: http://scidok.sulb.uni-saarland.de/volltexte/2011/4294/


Conserving corporate knowledge for crankshaft design

Kühn, Otto ; Höfling, Björn

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Institut: DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
DDC-Sachgruppe: Informatik
Dokumentart: Report (Bericht)
Schriftenreihe: Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x]
Bandnummer: 94-08
Sprache: Englisch
Erstellungsjahr: 1994
Publikationsdatum: 25.11.2011
Kurzfassung auf Englisch: 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.
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