• DocumentCode
    2186229
  • Title

    Yard crane dispatching based on real time data driven simulation for container terminals

  • Author

    Guo, Xi ; Huang, Shell Ying ; Hsu, Wen Jing ; Low, Malcolm Yoke Hean

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2008
  • fDate
    7-10 Dec. 2008
  • Firstpage
    2648
  • Lastpage
    2655
  • Abstract
    This paper studies the problem of real time yard crane dispatching in container terminals. Many technologies, including transponders, RFID and GPS have been used in the container terminal setting for real-time tracking of terminal equipment. A judicious integration of real-time data into the yard crane management system will allow better utilization of terminal resources to improve overall terminal productivity. We propose a yard crane dispatching algorithm based on real time data driven simulation to solve the problem of yard crane job sequencing to minimize average vehicle waiting time. The algorithm will produce optimal operation sequence for each planning window. Several policies to select jobs to form the planning window are also proposed. Our simulation results show that dispatching yard crane based on real time data driven simulation is of great value in improving yard crane performance in 3 scenarios with different vehicle arriving patterns and our results are 10% worse off a loosely estimated overall optimal performance result.
  • Keywords
    containers; cranes; dispatching; minimisation; planning; container terminals; terminal equipment; vehicle arriving patterns; vehicle waiting time; yard crane dispatching; yard crane job sequencing; yard crane management system; Containers; Cranes; Dispatching; Global Positioning System; Productivity; Radiofrequency identification; Real time systems; Resource management; Transponders; Vehicle driving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2008. WSC 2008. Winter
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-2707-9
  • Electronic_ISBN
    978-1-4244-2708-6
  • Type

    conf

  • DOI
    10.1109/WSC.2008.4736380
  • Filename
    4736380