America's railroads handle 37.5% of all freight shipped within the continental United States. Because of the competition from other modes of transportation, the rail industry is eager to improve its operational effectiveness. Smooth and efficient rail yard operations can improve delivery date reliability, reduce the time it takes a rail car to travel from its origin to its destination, and decrease the amount of time it takes to sort incoming cars or assemble outbound trains. This paper will focus on three different models - Shi's Hump Sequencing System, Kraft's Mixed-Integer Optimization Model, and Ferguson's Switching Process Model - designed to help optimize freight rail marshalling or classification yards.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Current Methods for Optimizing Rail Marshalling Yard Operations


    Contributors:

    Publication date :

    1994


    Size :

    50 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    Koriyama marshalling yard

    Tema Archive | 1969


    Carlisle marshalling yard

    Engineering Index Backfile | 1963


    Koriyama marshalling yard

    Engineering Index Backfile | 1969


    Tyne marshalling yard

    Engineering Index Backfile | 1963


    Marshalling yard automation studies

    Cureau, A. / Vallet, R. | Engineering Index Backfile | 1967