• Title of article

    Concurrent Locomotive Assignment and Freight Train Scheduling

  • Author/Authors

    yaghini, masoud iran university of science and technology - department of rail transportation engineering, ايران , ghofrani, faeze iran university of science and technology - department of rail transportation engineering, ايران , karimi, mohammad iran university of science and technology - department of rail transportation engineering, ايران , esmi-zadeh, majedeh iran university of science and technology - department of rail transportation engineering, ايران

  • From page
    321
  • To page
    335
  • Abstract
    The locomotive assignment and the freight train scheduling are important problems in railway transportation. Freight cars are coupled to form a freight rake. The freight rake becomes a train when a locomotive is coupled to it. The locomotive assignment problem assigns locomotives to a set of freight rakes in a way that, with minimum locomotive deadheading time, rake coupling delay and locomotive coupling delay all freight rakes are hauled to their destinations. Scheduling freight trains consists of sequencing and ordering freight trains during the non-usage time between passenger trains but with no interference and with minimum delay times. Solving these two problems simultaneously is of high importance and can be highly effective in decreasing costs for rail transportation. In this paper, we aim to minimize the operational costs for the locomotive assignment and the freight train scheduling by solving these two problems concurrently. To meet this objective, an efficient and effective algorithm based on the ant colony system is proposed. To evaluate the performance of the proposed solution method, twenty-five test problems, which are based on the conditions of Iran Railways, are solved and the computational results are reported.
  • Keywords
    Management , Scheduling and PlanningRailway systems
  • Journal title
    International Journal of Industrial Engineering and Production Research
  • Journal title
    International Journal of Industrial Engineering and Production Research
  • Record number

    2565072