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The impact of lanes segmentation and booking levels on a container terminal gate congestion

Author

Listed:
  • María D. Gracia

    (Universidad Autónoma de Tamaulipas)

  • Rosa G. González-Ramírez

    (Universidad de Los Andes Chile)

  • Julio Mar-Ortiz

    (Universidad Autónoma de Tamaulipas)

Abstract

Recent trends in port performance improvement include the coordination of intermodal transport logistics to reduce congestion and inefficiencies generated at the gates of the terminals. Congestion at the gate of a terminal generates several problems such as pollution and long waiting times for truck carriers. As part of the strategies and best practices to reduce congestion, some ports worldwide have implemented advanced booking systems in order to coordinate truck arrivals and deliveries at the gate of their container terminals. We will refer to these systems as truck appointment systems. In general terms, a truck appointment system provides a mechanism where truck carriers coordinate their time of arrival at the container terminal based on an advanced booking. In this way, gate managers are able to better plan their port operations and equipment allocation, to reduce the waiting times of trucks and improve the turnaround time for container deliveries. In order to account for the real benefits of such systems, the particular conditions of each container terminal need to be considered. In this paper, a case study of a Chilean port terminal is analyzed. The aim is to provide recommendations that may reduce congestion and improve the container terminal´s gate control of truck arrivals, turnaround times and container deliveries by means of efficient lane segmentation policies. Several scenarios were examined under which different booking levels are considered for an environment in which the arrival of containers can vary significantly from day to day and on a seasonal basis. As a basis for our study a fractional factorial design is performed in order to analyze the impact of controllable factors on two service levels measures, which reduce the number of scenarios needed to obtain robust conclusions.

Suggested Citation

  • María D. Gracia & Rosa G. González-Ramírez & Julio Mar-Ortiz, 2017. "The impact of lanes segmentation and booking levels on a container terminal gate congestion," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 403-432, December.
    • Handle: RePEc:spr:flsman:v:29:y:2017:i:3:d:10.1007_s10696-016-9256-4
    DOI: 10.1007/s10696-016-9256-4
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    References listed on IDEAS

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    Cited by:

    1. Budhi S. Wibowo & Jan C. Fransoo, 2023. "Performance analysis of a drop-swap terminal to mitigate truck congestion at chemical sites," Flexible Services and Manufacturing Journal, Springer, vol. 35(2), pages 416-454, June.
    2. T. Jonker & M. B. Duinkerken & N. Yorke-Smith & A. Waal & R. R. Negenborn, 2021. "Coordinated optimization of equipment operations in a container terminal," Flexible Services and Manufacturing Journal, Springer, vol. 33(2), pages 281-311, June.
    3. Amir Gharehgozli & Nima Zaerpour & Rene Koster, 2020. "Container terminal layout design: transition and future," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(4), pages 610-639, December.

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