Development of a knowledge-based system for dynamic scheduling

Development of a knowledge-based system for dynamic scheduling

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Article ID: iaor1991186
Country: United Kingdom
Volume: 28
Issue: 8
Start Page Number: 1499
End Page Number: 1512
Publication Date: Aug 1990
Journal: International Journal of Production Research
Authors: ,
Keywords: artificial intelligence
Abstract:

In this paper the authors develop an interactive, real time, knowledge-based approach for dynamic scheduling. Blackboard concept has been utilized to organize and maintain the dynamic data base. The major knowledge representation schemes used in the system include frame structures, relational tables, and production rules. The system design is highly modular in nature thereby providing the ease for further development and enhancement. Based on this system, a design philosophy of an AI/OR integrated approach is also presented.

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