• DocumentCode
    2573923
  • Title

    The automated guided vehicle problem in logistics operations

  • Author

    Miao, Zhaowei ; Ji, Guojun ; Rui Qiang ; Fan Wang

  • Author_Institution
    Sch. of Manage., Xiamen Univ., Xiamen
  • fYear
    2008
  • fDate
    June 30 2008-July 2 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we introduce a model for designing a automatic guided vehicle system (AGVS) with multiple automatic guided vehicles (AGVs) operating under some given strategies and fixed layout. In our model, we take two cargoes into consideration, i.e. two cargoes entering AGVS. We make an assumption that we have known all the information about the first cargo already such as the entering entry and the leaving entry, but the information of the second one is random. Then we develop a two-stage stochastic program model for this problem. Because of its complexity, the optimal solution is difficult to obtain within a short time so that to get optimization is not operable in the real-world application. As a result, we adopt heuristic methods to solve it and do simulation to find useful insights.
  • Keywords
    logistics; stochastic programming; vehicles; automatic guided vehicle system; logistics operations; stochastic program model; Flexible manufacturing systems; Job shop scheduling; Logistics; Materials handling; Routing; Scheduling algorithm; Stochastic processes; Sun; Throughput; Vehicles; AGV; heuristic; optimization; stochastic program;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management, 2008 International Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4244-1671-4
  • Electronic_ISBN
    978-1-4244-1672-1
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2008.4598470
  • Filename
    4598470