Please use this identifier to cite or link to this item:
doi:10.22028/D291-25202
Title: | Conserving corporate knowledge for crankshaft design |
Author(s): | Kühn, Otto Höfling, Björn |
Language: | English |
Year of Publication: | 1994 |
DDC notations: | 004 Computer science, internet |
Publikation type: | Report |
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 to this record: | urn:nbn:de:bsz:291-scidok-42946 hdl:20.500.11880/25258 http://dx.doi.org/10.22028/D291-25202 |
Series name: | Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x] |
Series volume: | 94-08 |
Date of registration: | 25-Nov-2011 |
Faculty: | SE - Sonstige Einrichtungen |
Department: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
File | Description | Size | Format | |
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RR_94_08.pdf | 12,26 MB | Adobe PDF | View/Open |
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