Hrusovsky, Martin, Hemmelmayr, Vera, Schett, Georg, Birkmaier, Alexandra. 2022. Decision support system for the anticipative rail freight planning. EURO 2022, Espoo, Finnland, 03.07.-06.07.

RIS

@CONFERENCE{Hrusovsky2022,
title = {Decision support system for the anticipative rail freight planning},
author = {Martin Hrusovsky and Vera Hemmelmayr and Georg Schett and Alexandra Birkmaier},
year = {2022},
address = {Espoo},
url = {https://euro2022espoo.com/},
language = {EN},
misc = {EURO 2022},
abstract = {Despite the support for rail as sustainable transport mode from the literature as well as from the EU and other organisations, its share on modal split is rather stagnating. Whereas this might be caused by external reasons, such as changing demand patterns and responsive logistics systems with small deliveries, one important factor is also the low flexibility and high complexity of the multi-stage planning processes in the railway freight transport that are partly done manually. One necessary planning step is to find the optimal fleet size so that there are sucient railcars available to cover the expected demand but at the same time the size of the railcar fleet is minimized to reduce the costs. Whereas the demand for railcars can change in a relatively short time, changes in railcar supply belong to mid-term decisions due to long delivery times and long lifetime of railcars. In order to support the fleet planning, we present a decision support system combining two models: a fleet sizing optimization model, determining the necessary number of railcars based on the demand and the available fleet, and a fleet management model, identifying overstocks and understocks for dierent railcar types and supporting measures for increasing and decreasing their inventory. The system considers various factors, such as customer preferences, substitutability of railcars or transitions between months, and is applied to a real-world case study illustrating the advantages of our approach.},
}