Schedule-an expert-like system for machine scheduling |
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Authors: | A Lamatsch M Morlock K Neumann T Rubach |
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Institution: | (1) Institut für Wirtschaftstheorie and Operations Research, Universität Karlsruhe, Karlsruhe 1, D-7500 Kaiserstrasse 12, W.-Germany;(2) Kurfürstenstrasse 36, D-8034 Germering, W.-Germany |
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Abstract: | The construction of an expert-like system for machine scheduling called SCHEDULE is presented. Essential parts of SCHEDULE were developed by students in a laboratory course Operations Research on Microcomputers at the University of Karlsruhe, Germany. SCHEDULE consists of the components data base, knowledge base, inference engine, explanation facility, dialog component, and knowledge acquisition component. The knowledge base contains an algorithm base for solving different types of scheduling problems. To establish the rules of the knowledge base the well-known three-field classification of deterministic machine scheduling problems and the concept of the reduction digraph are exploited. Experiences gained during building and demonstrating SCHEDULE are reported. |
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Keywords: | Expert system learning system machine scheduling reduction digraph |
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