SCHEDULE-An expert-like system for machine scheduling

SCHEDULE-An expert-like system for machine scheduling

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Article ID: iaor1988530
Country: Switzerland
Volume: 16
Start Page Number: 425
End Page Number: 438
Publication Date: Dec 1988
Journal: Annals of Operations Research
Authors: , , ,
Keywords: artificial intelligence: expert systems
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 durng building and demonstrating SCHEDULE are reported.

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