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

Author

Yang, Weilin

Author_Institution

Dept. of Mech. Eng., Chiba Univ., Japan

fYear

1992

fDate

9-13 Nov 1992

Firstpage

871

Abstract

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

Keywords

Petri nets; decision support systems; flexible manufacturing systems; knowledge based systems; scheduling; FMS; Petri nets; database; decision support; decision support system; flexible manufacturing systems; heuristic knowledge scheduling algorithm; job scheduling; knowledge-based approach; simulation; Buffer storage; Databases; Decision support systems; Fixtures; Flexible manufacturing systems; Heuristic algorithms; Job shop scheduling; Petri nets; Productivity; Scheduling algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

San Diego, CA

Print_ISBN

0-7803-0582-5

Type

conf

DOI

10.1109/IECON.1992.254516

Filename

254516