Please use this identifier to cite or link to this item: doi:10.22028/D291-24847
Title: PIM : planning in manufacturing using skeletal plans and features
Author(s): Legleitner, Ralf
Bernardi, Ansgar
Klauck, Christoph
Language: English
Year of Publication: 1992
OPUS Source: Kaiserslautern ; Saarbrücken : DFKI, 1992
SWD key words: Künstliche Intelligenz
Automatische Handlungsplanung
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: In order to create a production plan from product model data, a human expert thinks in a special terminology with respect to the given work piece and its production plan: He recognizes certain features and associates fragments of a production plan. By combining these skeletal plans he generates the complete production plan. We present a set of representation formalisms suitable for the modelling of this approach. When an expert's knowledge has been represented using these formalisms, the generation of a production plan can be achieved by a sequence of abstraction, selection and refinement. This is demonstrated in the CAPP-system PIM, which is currently developed as a prototype. The close modelling of the knowledge of the concrete expert (or the accumulated know-how of a concrete factory) facilitate the development of planning systems which are especially tailored to the concrete manufacturing environment and optimally use the expert's knowledge and should also lead to improved acceptance of the system.
Link to this record: urn:nbn:de:bsz:291-scidok-36005
Series name: Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x]
Series volume: 92-19
Date of registration: 19-May-2011
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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