• DocumentCode
    2553517
  • Title

    Research on location-routing problem of relief system based on emergency logistics

  • Author

    Mingang, Zeng ; Zeng, Mingangl ; Xiaoyan, Wu

  • Author_Institution
    School of Business and Administration, South China University of Technology, Guangzhou, P.R. China510640
  • fYear
    2009
  • fDate
    21-23 Oct. 2009
  • Firstpage
    228
  • Lastpage
    232
  • Abstract
    The research on the Location-Routing Problem of relief system based on emergency logistics is very important for improving the ability to deal with the emergencies and the disasters. This paper divides the location-routing problem (LRP) into two sub-problems: emergency facilities location problem and emergency resource routing problem, and then establishes a LRP model with the goal of minimizing total cost (including fixed cost, transportation cost and disaster losses cost), and uses a two-stage heuristic algorithm to settle this model. At the first stage, it uses an clustering method solve the emergency facilities locating problem with the constraints of emergency time, demand and weight of distance to solve the heuristic function; and at the second stage, it uses ant colony algorithm to solve the heuristic function with the goals time, the probability of safe passage and distance for the emergency resource routing problem. At last, the paper selects the typhoon disaster as a typical example to analyze the model, and after operated in MATLAB7.0 the results show that the LRP model is rational and feasible.
  • Keywords
    Clustering algorithms; Clustering methods; Costs; Heuristic algorithms; Logistics; Mathematical model; Routing; Time factors; Transportation; Typhoons; Emergency logistics; LRP model; ant colony algorithm; clustering method; relief system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    978-1-4244-3671-2
  • Electronic_ISBN
    978-1-4244-3672-9
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2009.5344599
  • Filename
    5344599