Modeling and solving a heterogeneous fleet multi-trip electric vehicle routing problem

Activity: Talk or presentationContributed talkscience-to-science

Description

The heterogeneous fleet multi-trip electric vehicle routing problem that we address is motivated by a problem situation arising in mid-range road freight transport. A set of customers has to be supplied from a central warehouse with a fleet of heterogeneous vehicles, some of which are electric vehicles. Loading and unloading times are proportional to the quantity loaded. Each vehicle may serve multiple trips during its operating time. Vehicles have a maximum capacity as well as a limited driving range. Re-charging/re-fueling is only possible at the depot between consecutive trips to customers. The objective is to minimize the total operating costs which are vehicle type dependent. We propose a compact model as well as a set covering based formulation. The latter is solved on a set of trips that are generated by heuristic constructive procedures and combined with a variable neighborhood search based algorithm. The developed approaches are used to evaluate fleet size and mix decisions on real-world data from Upper Austria."
Period01 Sept 2023
Event titleInternational Conference on Operations Research (OR) 2023
Event typeConference
LocationGermanyShow on map

Fields of science

  • 502 Economics
  • 502028 Production management
  • 502017 Logistics
  • 502050 Business informatics
  • 102 Computer Sciences
  • 101016 Optimisation
  • 502037 Location planning
  • 101015 Operations research

JKU Focus areas

  • Digital Transformation
  • Sustainable Development: Responsible Technologies and Management