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Truck and trailer scheduling in a real world, dynamic and heterogeneous context

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  • Regnier-Coudert, Olivier
  • McCall, John
  • Ayodele, Mayowa
  • Anderson, Steven

Abstract

We present a new variant of the Vehicle Routing Problem based on a real industrial scenario. This VRP is dynamic and heavily constrained and uses time-windows, a heterogeneous vehicle fleet and multiple types of job. A constructive solver is developed and tested using dynamic simulation of real-world data from a leading Scottish haulier. Our experiments establish the efficiency and reliability of the method for this problem. Additionally, a methodology for evaluating policy changes through simulation is presented, showing that our technique supports operations and management. We establish that fleet size can be reduced or more jobs handled by the company.

Suggested Citation

  • Regnier-Coudert, Olivier & McCall, John & Ayodele, Mayowa & Anderson, Steven, 2016. "Truck and trailer scheduling in a real world, dynamic and heterogeneous context," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 389-408.
    • Handle: RePEc:eee:transe:v:93:y:2016:i:c:p:389-408
    DOI: 10.1016/j.tre.2016.06.010
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    References listed on IDEAS

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    3. Escudero-Santana, Alejandro & Muñuzuri, Jesús & Cortés, Pablo & Onieva, Luis, 2021. "The one container drayage problem with soft time windows," Research in Transportation Economics, Elsevier, vol. 90(C).
    4. Aziez, Imadeddine & Côté, Jean-François & Coelho, Leandro C., 2022. "Fleet sizing and routing of healthcare automated guided vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    5. Scherr, Yannick Oskar & Neumann Saavedra, Bruno Albert & Hewitt, Mike & Mattfeld, Dirk Christian, 2019. "Service network design with mixed autonomous fleets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 124(C), pages 40-55.

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