• DocumentCode
    1832026
  • Title

    A nested genetic optimization algorithm for the capacitated facility location problem

  • Author

    Huang, Shan-Huen ; Lin, Pei-Chun ; Chan, Hou-Ip

  • Author_Institution
    Dept. of Logistics Manage., Nat. Kaohsiung First Univ. of Sci. & Technol., Kaohsiung, Taiwan
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    2105
  • Lastpage
    2109
  • Abstract
    This paper examines an integrated model to determine strategic capacitated facility locations based on the view of distribution center management in the upstream supply chain. The model incorporates the sub-problems of service flag allocation and vehicle dispatching allocation. This paper proposes a heuristic nested genetic algorithm which minimizes the total cost while incorporating consideration of the vehicle drivers´ working time limitations. Additionally, an experimental application is also applied to examine the efficiency of the proposed algorithm.
  • Keywords
    facility location; genetic algorithms; goods distribution; supply chain management; vehicles; capacitated facility location problem; distribution center management; heuristic nested genetic algorithm; integrated model; nested genetic optimization algorithm; service flag allocation; strategic capacitated facility location; upstream supply chain; vehicle dispatching allocation; Biological cells; Gallium; Resource management; Sensitivity analysis; Supply chains; Vehicles; capacitated facility location problem; service flag allocation; vehicle dispatching allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4244-8501-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2010.5674622
  • Filename
    5674622