• DocumentCode
    1778830
  • Title

    A simulated annealing for designing the distribution network of a ???Collect-on-delivery??? company in a metropolis context

  • Author

    Chao Wang ; Dong Mu

  • Author_Institution
    Sch. of Econ. & Manage., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2014
  • fDate
    25-27 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Parcel delivery service by Collect-on-delivery (“COD”, a.k.a Cash-on-delivery) companies is a new distribution mode in China. It includes two types of trips: first level trips serving from one of the central distribution centers to a set of regional distribution centers, which are to be located, and second trips supplying end customers from these regional distribution centers. The design of the distribution network of a “COD” company in urban areas is a relatively new research direction which can be modeled as a two-echelon location routing problem (2E-LRP). A simulated annealing (SA) algorithm efficiently combining the sub-problems is presented. Experimental results are reported for 30 2E-LRP instances from Prodhon´s benchmarks. In a comparison with three recently published metaheuristics, only one (ALNS) does better. It indicates that the proposed SA is an effective metaheuristic to solve 2E-LRP problem, i.e., design distribution network of a “COD” company in a metropolis context.
  • Keywords
    simulated annealing; transportation; 2E-LRP problem; COD; SA; central distribution centers; collect-on-delivery company; first level trips; parcel delivery service; regional distribution centers; simulated annealing algorithm; two-echelon location routing problem; Algorithm design and analysis; Benchmark testing; Cities and towns; Companies; Routing; Simulated annealing; Vehicles; ???COD??? company; location-routing; simulated annealing; two-echelon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management (ICSSSM), 2014 11th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-3133-0
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2014.6874112
  • Filename
    6874112