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Solving a Multi-objective Vehicle Routing Problem with Synchronization Constraints

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Computational Logistics (ICCL 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 13004))

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Abstract

In this paper, we solve a multi-objective vehicle routing problem with synchronization constraints at the delivery location. Our work is motivated by the delivery of parcels and consumer goods in urban areas, where customers may await deliveries from more than one service provider on the same day. In addition to minimizing travel costs, we also consider a second objective to address customer preferences for a compact schedule at the delivery location, so that all deliveries to a customer happen within a non-predefined time interval. To determine the Pareto fronts, three metaheuristic methods based on large neighborhood search are developed. The results on small instances are compared with an \(\epsilon \)-constraint method using an exact solver. Results for large real-world instances are also presented.

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Author information

Authors and Affiliations

  1. Institut für Business Decisions and Analytics, Oskar-Morgenstern-Platz 1, Wien, Austria

    Briseida Sarasola & Karl F. Doerner

  2. Data Science @ Uni Vienna, Vienna, Austria

    Karl F. Doerner

Authors
  1. Briseida Sarasola
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  2. Karl F. Doerner
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Corresponding author

Correspondence to Briseida Sarasola .

Editor information

Editors and Affiliations

  1. IEBIS, University of Twente, Enschede, Overijssel, The Netherlands

    Martijn Mes

  2. IEBIS, University of Twente, Enschede, Overijssel, The Netherlands

    Eduardo Lalla-Ruiz

  3. IWI-Institute of Information Systems, University of Hamburg, Hamburg, Germany

    Stefan Voß

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Sarasola, B., Doerner, K.F. (2021). Solving a Multi-objective Vehicle Routing Problem with Synchronization Constraints. In: Mes, M., Lalla-Ruiz, E., Voß, S. (eds) Computational Logistics. ICCL 2021. Lecture Notes in Computer Science(), vol 13004. Springer, Cham. https://doi.org/10.1007/978-3-030-87672-2_35

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  • DOI: https://doi.org/10.1007/978-3-030-87672-2_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87671-5

  • Online ISBN: 978-3-030-87672-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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