Abstract
Machining operation planning involves the selection and sequencing of machining operations for fabricating a workpiece. It is the first step in the process of generating a detailed process plan for a workpiece. In the past five years, several knowledge-based systems have been developed. Two knowledge representation schemes are employed: production rules and frames. Each of these exhibits some general properties of human information processing but neglects the other. None of the existing systems is able to solve real-world problems. The main focus of this paper is on a layered architecture for manufacturing knowledge representation and automated reasoning for operation planning. This can be addressed through a discussion of both the knowledge representation structure and the inference mechanism. The proposed layered architecture has been implemented on a microcomputer using PROLOG. The results are satisfactory.
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