Techniques to improve freight car fleet use are of considerable interest to the railroad industry. In this paper, we present a fuzzy inventory control approach applied to the sizing of empty cars on a rail network. We address the problem of deciding the optimal inventory level and the optimal ordering quantity for a rail freight car fleet system in which demand and travel time are uncertain variables represented as triangular fuzzy numbers. Based on the fuzzy economic order quantity (EOQ) formula, a modified fuzzy EOQ model is set up and the optimal policy is developed using the signed distance method to defuzzify the fuzzy total cost. Computational results made for the Serbian rail network case verify the proposed model as well as the efficiency of the approach.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Fuzzy modeling approach to the rail freight car inventory problem


    Contributors:

    Published in:

    Publication date :

    2014-02-17


    Size :

    19 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    A fuzzy random model for rail freight car fleet sizing problem

    Milenković, Miloš | Online Contents | 2013


    Rail Freight

    British Library Online Contents | 2001


    Freight rail: 1958 - 2008 - Freight rail´s evolutionary era

    Stagl, Jeff / Weart, Walter | IuD Bahn | 2008


    Rail freight forecasts

    British Library Online Contents | 2005