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A comprehensive review of the truck appointment scheduling models and directions for future research

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  • Ahmed Mohssen Abdelmagid
  • Mohamed Samir Gheith
  • Amr Bahgat Eltawil

Abstract

The performance of a container terminal is typically evaluated using two main indicators: the vessel berthing time and the truck turnaround time. These two indicators are significantly influenced by the truck’s arrivals and departures to/from the container terminal. In the truck appointment scheduling problem, it is desired to designate a time slot for each truck to pick up/deliver a container from/to the container terminal while considering the objectives and constraints of the terminal and the trucking companies. Truck appointment systems are considered as a solution to control the truck arrivals and improve terminal efficiency. This paper presents a comprehensive review and analysis of the literature addressing the external truck appointment scheduling problem and presents possible directions for future research. After explaining the problem and its importance, the reviewed literature is classified based on three main categories: control and decision perspectives, modelling methodologies, and collaboration between stakeholders. Furthermore, the impact of implementing information and communication technologies on the external truck appointment scheduling problem is addressed. The paper covers the most recent publications and discusses their contributions. Besides, research gaps and future research directions are concluded.

Suggested Citation

  • Ahmed Mohssen Abdelmagid & Mohamed Samir Gheith & Amr Bahgat Eltawil, 2022. "A comprehensive review of the truck appointment scheduling models and directions for future research," Transport Reviews, Taylor & Francis Journals, vol. 42(1), pages 102-126, January.
    • Handle: RePEc:taf:transr:v:42:y:2022:i:1:p:102-126
    DOI: 10.1080/01441647.2021.1955034
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    Cited by:

    1. Ahmed Talaat & Mohamed Gheith & Amr Eltawil, 2023. "A Multi-Stage Approach for External Trucks and Yard Cranes Scheduling with CO 2 Emissions Considerations in Container Terminals," Logistics, MDPI, vol. 7(4), pages 1-23, November.
    2. Ahmed M. Abdelmagid & Mohamed Gheith & Amr Eltawil, 2022. "Scheduling External Trucks Appointments in Container Terminals to Minimize Cost and Truck Turnaround Times," Logistics, MDPI, vol. 6(3), pages 1-22, July.
    3. Lange, Ann-Kathrin & Nellen, Nicole & Jahn, Carlos, 2022. "Truck appointment systems: How can they be improved and what are their limits?," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Jahn, Carlos & Blecker, Thorsten & Ringle, Christian M. (ed.), Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management – Innovative Approaches for the Shift to a New , volume 33, pages 615-655, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    4. Wang, Zehao & Zeng, Qingcheng & Li, Xingchun & Qu, Chenrui, 2024. "A branch-and-price heuristic algorithm for the ART and external truck scheduling problem in an automated container terminal with a parallel layout," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).

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