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A Novel Auction-Based Truck Appointment System for Marine Terminals

Author

Listed:
  • Ilias Alexandros Parmaksizoglou

    (Air Transport and Operations, Faculty of Aerospace Engineering, Delft University of Technology, 2629 HS Delft, The Netherlands)

  • Alessandro Bombelli

    (Air Transport and Operations, Faculty of Aerospace Engineering, Delft University of Technology, 2629 HS Delft, The Netherlands)

  • Alexei Sharpanskykh

    (Air Transport and Operations, Faculty of Aerospace Engineering, Delft University of Technology, 2629 HS Delft, The Netherlands)

Abstract

Background: Increased maritime trade has led to a surge in drayage operations, causing congestion and environmental issues in port areas. Truck Appointment Systems (TASs) are commonly used to manage truck arrival rates, yet transparency and equity in slot allocation remain problematic, fostering distrust between Licensed Motor Carriers (LMCs) and Marine Terminal Operators (MTOs). Methods: This study proposes a polycentric approach to improve truck scheduling and ensure that those impacted by decisions are involved in the decision-making process. A single-round auction mechanism focused on optimizing the truck hauling process through a pricing policy that promotes sincere bidding is introduced. The proposed approach employs an optimization strategy to achieve equitable coordination in truck synchronization through means of adaptable capacity management. Results: Numerical experiments assessing scenarios of noncollaborative behavior against partial collaboration between MTOs and LMCs demonstrate the effectiveness of the proposed approach in enhancing user satisfaction and terminal conditions for a case study focused on a medium-sized terminal. Collaboration between trucking companies is shown to increase utility per monetary unit spent on slot acquisition. Conclusions: The polycentric strategy offers a solution to TAS limitations by ensuring stakeholder participation with respect to flexibility and transparency by ensuring that those impacted by decisions are involved in the decision-making process.

Suggested Citation

  • Ilias Alexandros Parmaksizoglou & Alessandro Bombelli & Alexei Sharpanskykh, 2024. "A Novel Auction-Based Truck Appointment System for Marine Terminals," Logistics, MDPI, vol. 8(2), pages 1-20, April.
    • Handle: RePEc:gam:jlogis:v:8:y:2024:i:2:p:40-:d:1372941
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    References listed on IDEAS

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    1. repec:cup:apsrev:v:55:y:1961:i:04:p:831-842_12 is not listed on IDEAS
    2. Shiri, Samaneh & Huynh, Nathan, 2016. "Optimization of drayage operations with time-window constraints," International Journal of Production Economics, Elsevier, vol. 176(C), pages 7-20.
    3. Schulte, Frederik & Lalla-Ruiz, Eduardo & González-Ramírez, Rosa G. & Voß, Stefan, 2017. "Reducing port-related empty truck emissions: A mathematical approach for truck appointments with collaboration," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 195-212.
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    1. Ilias Alexandros Parmaksizoglou & Alessandro Bombelli & Alexei Sharpanskykh, 2025. "A Multi-Agent Optimization Approach for Multimodal Collaboration in Marine Terminals," Logistics, MDPI, vol. 9(3), pages 1-30, August.

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