EURO 2024 Copenhagen
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2213. Hub location problem with a mixed green fleet

Invited abstract in session MC-61: Hub Location, stream Locational Analysis.

Monday, 12:30-14:00
Room: S10 (building: 101)

Authors (first author is the speaker)

1. Okan Dukkanci
Business Informatics and Operations Research, European University Viadrina
2. Achim Koberstein
Information and Operations Management, European University Viadrina Frankfurt (Oder)
3. James Campbell
College of Business Administration, University of Missouri-St. Louis

Abstract

This talk will introduce a novel hub location problem with a mixed fleet of diesel-based conventional vehicles and alternative fuel vehicles including electric vehicles and unmanned aerial vehicles. Compared to diesel-based vehicles, the driving range of alternative fuel vehicles in terms of travel distance is more limited. In addition to the driving range, the proposed problem also captures the capacity limitations of these vehicles. The objective function of the problem minimizes the total cost including the fixed cost of locating hubs and the transportation cost of different vehicle types. The latter cost component consists of the recharging cost associated with energy (fuel) consumption depending on the traveled distance, the recharging fee costs depending on the number of visits to recharging stations, and also the waiting cost for drivers and vehicles due to the recharging time of vehicles. We develop a mixed-integer linear programming formulation with preprocessing rules. Different extensions of the problem including a multiple allocation version and solution methods will be discussed. The talk will present computational results over the CAB, TR, and the newly introduced German datasets to analyze the impact of a mixed fleet of range and capacity-limited vehicles on optimal hub location and allocation decisions.

Keywords

Status: accepted

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