• DocumentCode
    2218360
  • Title

    Research on Multi-row Layout Based on Genetic Algorithm

  • Author

    Na, Zhou ; Kelin, Xu ; Shuang, Guo

  • Author_Institution
    Coll. of Mech. Eng., Tongji Univ. Shanghai, Shanghai, China
  • Volume
    1
  • fYear
    2010
  • fDate
    26-28 Nov. 2010
  • Firstpage
    380
  • Lastpage
    384
  • Abstract
    In modeling of job shop multi-line facility layout problem, the properties of product also impact the logistics cost. To avoid neglecting of these impactions, in this paper, logistics is replaced by the Equivalent Logistics. On the basis of limitation analysis of quadratic assignment problem, an improved genetic algorithm is proposed. And the encoding, reproduction and fitness functions of are well designed of all 3 layouts. At last, a concrete case is carried out to evaluate the pros and cons of three layout strategies. The layout using automatic new row strategy is proved to be the optimal solution. The result shows that the algorithm can provide reference to related study.
  • Keywords
    facilities layout; genetic algorithms; automatic new row strategy; fitness functions; genetic algorithm; job shop multiline facility layout problem; multirow layout; quadratic assignment problem; Matlab; genetic algorithm; multi-row layout;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering (ICIII), 2010 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-8829-2
  • Type

    conf

  • DOI
    10.1109/ICIII.2010.98
  • Filename
    5694427