• DocumentCode
    3594985
  • Title

    A New Genetic Algorithm for Order-Picking of Irregular Warehouse

  • Author

    Haijun, Zhang ; Bingwu, Liu

  • Author_Institution
    Commun. Inst., Beijing WUZI Univ., Beijing, China
  • Volume
    1
  • fYear
    2009
  • Firstpage
    121
  • Lastpage
    124
  • Abstract
    This paper proposed a data structure to store irregular warehouse layout diagram. A warehouse unit is defined as four kinds, which are storage point, passage, node and block respectively. The shortest distance and route between two storage points can be calculated by virtue of their adjacent nodes. Based on this, a new genetic algorithm is proposed with an assumption that an order-picking operation always access goods as many as the vehicle can accommodate. An order involved some goods stored in different storage points. The storage pointpsilas sequence in the order is encoded a chromosome. A chromosome determines the number of order-picking operations and the total distance. Although this assumption made the algorithm search only part of the whole solution space, compared with one of the other genetic algorithm, this new genetic algorithm has better result. The reason maybe lies in that fewer order-picking operations conform to the optimizing goal.
  • Keywords
    facilities layout; genetic algorithms; order picking; genetic algorithm; irregular warehouse layout diagram; order-picking; storage; Biological cells; Costs; Data structures; Genetic algorithms; Manufacturing automation; Manufacturing industries; Mathematical model; Paper technology; Storage automation; Vehicles; genetic algorithm; irregular warehouse; node; order-picking; passage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
  • Print_ISBN
    978-0-7695-3682-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2009.131
  • Filename
    5200079