Process plan generation for sheet metal parts using an integrated feature-based expert system approach
- 1 May 1992
- journal article
- research article
- Published by Taylor & Francis in International Journal of Production Research
- Vol. 30 (5) , 1175-1190
- https://doi.org/10.1080/00207549208942949
Abstract
This paper describes a relational database system for semi-generative process planning for sheet metal parts that emulates expert system capabilities. The system integrates a feature-based relational database for the parts, a forward chaining rule-based strategy for machine selection, both global and feature-specific execution of the rules and a graph theoretic cost optimization model for optimal process plan selection. This system, which is currently being developed for a sheet metal fabrication company, suggests that, using the experience of shopfloor personnel, an efficient integration of feature-based process planning and expert system strategies can be accomplished.Keywords
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