Decision support system for the anticipative rail freight planning

Activity: Talk or presentationScience to science


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.
Period3 Jul 20226 Jul 2022
Event titleEURO 2022
Event typeUnknown
Degree of RecognitionInternational

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 502017 Logistics
  • 101015 Operations research
  • 211