• 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