DocumentCode :
3401962
Title :
Applications of genetic algorithm and simulation to dispatching rule-based FMS scheduling
Author :
Fujimoto, Hideo ; Tanigawa, Yuao ; Yasuda, Kazuhiko ; Iwahashi, Kazuhiko
Author_Institution :
Dept. of Mech. Eng., Nagoya Inst. of Technol., Japan
Volume :
1
fYear :
1995
fDate :
21-27 May 1995
Firstpage :
190
Abstract :
This paper presents a hybrid intelligent approach to a production scheduling problem in FMS. An FMS scheduling system is modelled as a four-level simultaneous decision-making problem. The genetic algorithm and simulation approaches are integrated to seek efficiently the best combination of dispatching rules in order to obtain an appropriate production schedule under specific performance measures
Keywords :
artificial intelligence; decision theory; flexible manufacturing systems; genetic algorithms; production control; dispatching rule-based FMS scheduling; four-level simultaneous decision-making problem; genetic algorithm; production scheduling; simulation; Buffer storage; Computational modeling; Dispatching; Flexible manufacturing systems; Genetic algorithms; Material storage; Processor scheduling; Production; Raw materials; Robotics and automation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
Conference_Location :
Nagoya
ISSN :
1050-4729
Print_ISBN :
0-7803-1965-6
Type :
conf
DOI :
10.1109/ROBOT.1995.525284
Filename :
525284
Link To Document :
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