• DocumentCode
    2162125
  • Title

    Optimization of continuous dynamic facility layout problem with budget constraints

  • Author

    Tian, Zengbao ; Li, Hua ; Zhao, Yinping

  • Author_Institution
    School of Economics and Management, Xidian University, Xi´´an, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    387
  • Lastpage
    390
  • Abstract
    The dynamic facility layout problem is concerned with the design of multi-period layout plans. From a realistic perspective, one may have to consider the limited budget to cover the cost of changing the layout. In this research, a mixed integer linear programming (MILP) formulation is presented for the dynamic facility layout problem with unequal-area departments and budget constraints. To deal with the complexity of the problem, a genetic algorithm combining the laying approach addressed in the paper is applied to the construction of a good solution. Experimental results have illustrated the effectiveness of the proposed algorithm.
  • Keywords
    Biological cells; Computational modeling; Gallium; Heuristic algorithms; Layout; Planning; Budget constraint; Dynamic facility layout; Genetic algorithms; Unequal department size;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5691786
  • Filename
    5691786