In this paper a rolling horizon approach is applied for simultaneous optimization of the rail freight car fleet size and allocation problem. Developed dynamic model of loaded and empty rail freight car flows explicitly treats state, control and station capacity constraints in presence of various freight car types under the partial substitutability among them. Demands and traveling times are considered as random variables. Proposed approach is applied to a set of test cases and it shown to be successful, ultimately providing a new managerial tool for more effective and efficient planning and analyzing rail freight car fleets.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A stochastic model predictive control to heterogeneous rail freight car fleet sizing problem




    Publication date :

    2015




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    85.00 / 55.82 Güterverkehr



    A stochastic model predictive control to heterogeneous rail freight car fleet sizing problem

    Milenković, Miloš S. / Bojović, Nebojša J. / Švadlenka, Libor et al. | Elsevier | 2015


    A fuzzy random model for rail freight car fleet sizing problem

    Milenković, Miloš | Online Contents | 2013


    A fuzzy random model for rail freight car fleet sizing problem

    Milenković, Miloš / Bojović, Nebojša | Elsevier | 2013


    Fleet Sizing and Empty Freight Car Allocation

    Hungerländer, Philipp / Steininger, Sebastian | British Library Conference Proceedings | 2018