DocumentCode :
238639
Title :
Optimization of the picking sequence of an automated storage and retrieval system (AS/RS)
Author :
Dornberger, Rolf ; Hanne, Thomas ; Ryter, Remo ; Stauffer, Michael
Author_Institution :
Sch. of Bus., Univ. of Appl. Sci. & Arts Northwestern Switzerland, Basel, Switzerland
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
2817
Lastpage :
2824
Abstract :
In this paper we consider the problem of an optimal picking order sequence in a multi-aisle warehouse that is operated by a single automatic storage and retrieval system (AS/RS). The problem is solved by using a genetic algorithm (GA) similar to the one in the earlier research [3]. The problem and the solution approach are implemented in the OpenOpal software which provides a suitable test bed for simulation and optimization (see http://www.openopal.org/). As a result it becomes evident that the genetic algorithm can be improved by changing the selection method and introducing an elitism mechanism.
Keywords :
genetic algorithms; information retrieval systems; AS-RS; GA; OpenOpal software; automated storage and retrieval system; elitism mechanism; genetic algorithm; optimal picking order sequence problem; Approximation methods; Educational institutions; Genetic algorithms; Optimization; Shape; Sociology; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2014 IEEE Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6626-4
Type :
conf
DOI :
10.1109/CEC.2014.6900254
Filename :
6900254
Link To Document :
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