arrow
Return

Selecting manufacturing technology:: A knowledge modelling approach

delete1999-01-01
delete1
PRE
AI
M
Michael Valášek
J
Jiří Čermák
DOI:10.1023/A:1008170000777delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
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.
Keywords:
generic task model
heuristic classification
knowledge modelling
manufacturing technology
ontology
shape class
systematic refinement
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

J
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
IF:
2.8
Papers:
3.8K
Citations:
6.9K

Organization

No organization information available