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.
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Zdráhal, Z., Valášek, M. & Čermák, J. Selecting Manufacturing Technology: A Knowledge Modelling Approach. Journal of Intelligent and Robotic Systems 26, 405–422 (1999). https://doi.org/10.1023/A:1008170000777
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DOI: https://doi.org/10.1023/A:1008170000777