Using simulation to compile diagnostic rules from a manufacturing process representation

Authors:
L. A. Becker;R. Barlett;F. Soroushian
Affiliations:
Worcester Polytechnic Institute, Worcester, MA;Worcester Polytechnic Institute, Worcester, MA;Worchester Polytechnic Institute, Worcester, MA
Venue:
ACM SIGART Bulletin - Special issue on knowledge acquisition
Year:
1989

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ACM SIGART Bulletin

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Abstract

Instead of acquiring diagnostic rules about a manufacturing process directly from domain experts, one can acquire a deeper, model-based representation, and compile the diagnostic rules directly from it. A manufacturing process representation (MPR) is a deep (Harmon, 1985), functional representation (Davis, 1984; Chandrasekaran, 1985) which embodies a model of the given process. This representation includes knowledge about the ordering of process steps, as well as what they are designed to accomplish and what would make them fail or what errors they may trap. As indicated below, an MPR can be acquired either by a knowledge engineer (KE), who would interview an expert and make use of any available process design documents, or by an Intelligent Interrogator (II) program.