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A new knowledge-based approach to decision support for job scheduling of FMS

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1 Author(s)
Yang, W. ; Dept. of Mech. Eng., Chiba Univ., Japan

The author presents a novel approach for managing the operation of flexible manufacturing systems (FMSs). This knowledge-based scheduling approach integrates the heuristic knowledge scheduling algorithm, simulation, and Petri nets together to establish a decision support system for more efficiently sequencing operations within the FMS. This knowledge-based scheduling system consists of a database, a heuristic knowledge base, a simulation system, and a controller. Reasonably good schedules are obtained by taking advantage of Petri nets and heuristic knowledge

Published in:

Industrial Electronics, Control, Instrumentation, and Automation, 1992. Power Electronics and Motion Control., Proceedings of the 1992 International Conference on

Date of Conference:

9-13 Nov 1992