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Emission Vehicle Routing Problem with Split Delivery and a Heterogeneous Vehicle Fleet

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Computational Logistics (ICCL 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9335))

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Abstract

In order to reduce the greenhouse effect caused by road haulage, new methods for transportation planning need to be developed. The amount of combusted diesel on a route segment of a tour depends to a large extend on the travel distance, the curb weight and the actual payload of the vehicle traversing that segment. Both, using an adequate mixed fleet and allowing split deliveries, open up options for reducing greenhouse gas (GHG) emissions caused by transportation. A MIP-model for a GHG based vehicle routing problem with a mixed fleet and split deliveries is presented. To demonstrate the achieved potential for emission reduction, we analyze results of applying our model to instances generated for homogeneous and mixed fleets.

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Author information

Authors and Affiliations

  1. Chair of Logistics, University of Bremen, Bremen, Germany

    Benedikt Vornhusen & Herbert Kopfer

Authors
  1. Benedikt Vornhusen
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  2. Herbert Kopfer
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Corresponding author

Correspondence to Benedikt Vornhusen .

Editor information

Editors and Affiliations

  1. Delft University of Technology, Delft, The Netherlands

    Francesco Corman

  2. University of Hamburg, Hamburg, Germany

    Stefan Voß

  3. Delft University of Technology, Delft, The Netherlands

    Rudy R. Negenborn

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© 2015 Springer International Publishing Switzerland

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Vornhusen, B., Kopfer, H. (2015). Emission Vehicle Routing Problem with Split Delivery and a Heterogeneous Vehicle Fleet. In: Corman, F., Voß, S., Negenborn, R. (eds) Computational Logistics. ICCL 2015. Lecture Notes in Computer Science(), vol 9335. Springer, Cham. https://doi.org/10.1007/978-3-319-24264-4_6

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  • DOI: https://doi.org/10.1007/978-3-319-24264-4_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24263-7

  • Online ISBN: 978-3-319-24264-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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