Selecting Manufacturing Technology: A Knowledge Modelling Approach

Authors:
Z. Zdráhal;M. Valášek;J. Čermák
Affiliations:
Knowledge Media Institute, The Open University, Walton Hall, Milton, UK;Faculty of Mechanical Engineering, Czech Technical University, Keznes, Czech Republic;Faculty of Mechanical Engineering, Czech Technical University, Keznes, Czech Republic
Venue:
Journal of Intelligent and Robotic Systems
Year:
1999

Citing 3
Cited 0

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A library of problem-solving components based on the integration of the search paradigm with task and method ontologies

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Modelling expertise for selecting manufacturing technology

BASYS '98 Proceedings of the 3rd IEEE/IFIP international conference on Intelligent systems for manufacturing : multi-agent systems and virtual organizations: multi-agent systems and virtual organizations

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Abstract

This paper describes the development of a knowledge based system for selecting the technology for manufacturing machine parts. The problem is formally specified and analysed. The problem solving method is modelled by instantiating two Generic Task Models (GTM) in the domain of bulk metal forming. Both technological and economical criteria are considered. Static knowledge is represented as domain ontologies. The system has been implemented and experimentally tested.