Intelligent Process Planning Using a Machine Learning Approach

This paper presents a framework for integrating the paradigm of case-base reasoning with the knowledge based approach in intelligent process planning. The proposed case based system uses process planning cases to represent the process planning knowledge and possesses self-learning capability in the sense that it develops its knowledge from the past and the new planning experiences. It therefore can overcome some weakness in the knowledge-based expert systems.