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Individually Optimized Commercial Road Transport: A Decision Support System for Customizable Routing Problems

Author

Listed:
  • Max Leyerer

    (School of Economics and Management, Leibniz University Hannover, 30167 Hannover, Germany)

  • Marc-Oliver Sonneberg

    (School of Economics and Management, Leibniz University Hannover, 30167 Hannover, Germany)

  • Maximilian Heumann

    (School of Economics and Management, Leibniz University Hannover, 30167 Hannover, Germany)

  • Tim Kammann

    (School of Economics and Management, Leibniz University Hannover, 30167 Hannover, Germany)

  • Michael H. Breitner

    (School of Economics and Management, Leibniz University Hannover, 30167 Hannover, Germany)

Abstract
The Vehicle Routing Problem (VRP) in its manifold variants is widely discussed in scientific literature. We investigate related optimization models and solution methods to determine the state of research for vehicle routing attributes and their combinations. Most of these approaches are idealized and focus on single problem-tailored routing applications. Addressing this research gap, we present a customizable VRP for optimized road transportation embedded into a Decision Support System (DSS). It integrates various model attributes and handles a multitude of real-world routing problems. In the context of urban logistics, practitioners of different industries and researchers are assisted in efficient route planning that allows for minimizing driving distances and reducing vehicle emissions. Based on the design science research methodology, we evaluate the DSS with computational benchmarks and real-world simulations. Results indicate that our developed DSS can compete with problem-tailored algorithms. With our solution-oriented DSS as final artifact, we contribute to an enhanced economic and environmental sustainability in urban logistic applications.

Suggested Citation

  • Max Leyerer & Marc-Oliver Sonneberg & Maximilian Heumann & Tim Kammann & Michael H. Breitner, 2019. "Individually Optimized Commercial Road Transport: A Decision Support System for Customizable Routing Problems," Sustainability, MDPI, vol. 11(20), pages 1-21, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:20:p:5544-:d:274362
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    References listed on IDEAS

    as
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