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Proceedings Paper

A Methodology For Applying Expert Systems To Process Plan Execution
Author(s): Mark C. Maletz
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Paper Abstract

This paper describes a methodology for applying expert systems to the task of executing process plans as a control mechanism for the factory floor. This methodology includes an architecture for representing both declarative and procedural knowledge. Declarative knowledge describes the state of the factory floor and the process plan operations that can be performed on parts on the factory floor (e.g., machining and assembly operations). Declarative knowledge is represented using both facts and schemata. Procedural knowledge identifies when and how process plan operations are to be executed. Procedural knowledge is represented using data-driven rules with an asynchronous event handling capability. Rules that determine when process plan operations can be performed embody largely domain-independent scheduling knowledge. Rules that determine how to execute process plan operations require domain-dependent knowledge about particular operations. Both of these types of rules also require information about the current state of the factory floor. A context graph mechanism is included in the methodology to represent temporal precedence constraints among process plan operations (i.e., the structure of a context graph indicates process plan operation precedences). Contexts are also used to represent a part configuration relative to a process plan operation. A prototype expert system based on the methodology presented in this paper has been developed using the Automated Reasoning Tool (ART).

Paper Details

Date Published: 11 May 1987
PDF: 11 pages
Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); doi: 10.1117/12.940606
Show Author Affiliations
Mark C. Maletz, Coopers & Lybrand Decision Support Group (United States)

Published in SPIE Proceedings Vol. 0786:
Applications of Artificial Intelligence V
John F. Gilmore, Editor(s)

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