DocumentCode :
1909499
Title :
Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness
Author :
Pickardt, Christoph ; Branke, Jurgen ; Hildebrandt, Torsten ; Heger, Jens ; Scholz-Reiter, Bernd
Author_Institution :
Warwick Bus. Sch., Univ. of Warwick, Coventry, UK
fYear :
2010
fDate :
5-8 Dec. 2010
Firstpage :
2504
Lastpage :
2515
Abstract :
Dispatching rules play an important role especially in semiconductor manufacturing scheduling, because these fabrication facilities are characterized by high complexity and dynamics. The process of developing and adapting dispatching rules is currently a tedious, largely manual task. Coupling Genetic Programming (GP), a global optimization meta-heuristic from the family of Evolutionary Algorithms, with a stochastic discrete event simulation of a complex manufacturing system we are able to automatically generate dispatching rules for a scenario from semiconductor manufacturing. Evolved dispatching rules clearly outperform manually developed rules from literature.
Keywords :
discrete event simulation; dispatching; genetic algorithms; minimisation; scheduling; semiconductor industry; complex manufacturing system; dispatching rule generation; evolutionary algorithms; fabrication facilities; genetic programming; semiconductor manufacturing scheduling; stochastic discrete event simulation; weighted tardiness minimzation; Computational modeling; Dispatching; Genetic programming; Job shop scheduling; Manufacturing; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2010 Winter
Conference_Location :
Baltimore, MD
ISSN :
0891-7736
Print_ISBN :
978-1-4244-9866-6
Type :
conf
DOI :
10.1109/WSC.2010.5678946
Filename :
5678946
Link To Document :
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