• DocumentCode
    2736289
  • Title

    A lagrangean relaxation approach for a two-stage capacitated facility location problem with choice of depot size

  • Author

    Tingying Wu ; Feng Chu ; Zhen Yang ; Zhili Zhou

  • Author_Institution
    Sch. of Manage., Xi´an Jiaotong Univ., Xianning, China
  • fYear
    2015
  • fDate
    9-11 April 2015
  • Firstpage
    39
  • Lastpage
    44
  • Abstract
    In this paper, we study a two-stage capacitated facility location problem with choice of depot size (TSCFLP-CD). Given a set of potential sites for plants in the first echelon, a set of potential sites for capacitated depots associated each with several possible sizes in the second echelon and a set of customers with given demands, the TSCFLP-CD aims to determine the locations of plants and depots, the size of depots, the product flows from plants to depots, and then to the customers under the single-sourcing constraints, so that all customers´ demands are satisfied with the minimum sum of the fixed opening costs of facilities, the product handling costs and the logistics costs. A Lagrangean relaxation approach is proposed to achieve a lower bound and an upper bound of the TSCFLP-CD. Numerical experiments on randomly generated instances demonstrated the effectiveness and efficiency of the proposed Lagrangean relaxation approach with the average gap of upper bound over lower bound around 1% in a reasonable time.
  • Keywords
    costing; facility location; Lagrangean relaxation approach; depot size choice; logistics costs; plants; product handling costs; single-sourcing constraints; two-stage capacitated facility location problem; Linear programming; Optimization; Roads; Supply chains; Upper bound; Facility location; Heuristic; Lagrangean relaxation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control (ICNSC), 2015 IEEE 12th International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/ICNSC.2015.7116007
  • Filename
    7116007