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
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