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Comparative Analysis of Train Departure Strategies in a Container Shipment

Author

Listed:
  • Alessia Giulianetti

    (Department of Economics and Business Studies, University of Genoa, via Vivaldi 5, 16126 Genoa, Italy)

  • Marco Gotelli

    (Department of Mechanical, Energy, Management and Transport Engineering, University of Genoa, via Opera Pia 15, 16145 Genoa, Italy)

  • Anna Sciomachen

    (Department of Economics and Business Studies, University of Genoa, via Vivaldi 5, 16126 Genoa, Italy)

Abstract

Background : We focus on the inland rail forwarding of import containers from a marine terminal. Specifically, we present a discrete-event simulation study related to container-loading operations by train, evaluating different train departure policies within a predetermined schedule based on the capacity of the rail network. The aim is threefold: manage more containers shipped by train, improve terminal operational efficiency, and increase the rail share. Methods : The proposed procedures take full advantage of the digitization and visualization of data currently present in the terminal with the aim of improving the performance indices of interest, thereby increasing the terminal‘s operational efficiency. We evaluate the medium- and long-term impact of alternative strategies on container dwell times and the possible increase in the number of containers shipped by train. Results : The computational tests are performed with data from a terminal in the port of Genoa (Italy). The results show the relationships between train departure management policies and train departure distributions. The number of departing trains, cancelled trains, and trains departing with load percentages below 70% is studied. Average loads per train and estimated delays are also analyzed. Conclusions: It is noted that the results, which can be obtained with data from any terminal, are of great importance for optimizing operational management, offering practical solutions to improve efficiency and reduce container downtime.

Suggested Citation

  • Alessia Giulianetti & Marco Gotelli & Anna Sciomachen, 2024. "Comparative Analysis of Train Departure Strategies in a Container Shipment," Logistics, MDPI, vol. 8(3), pages 1-16, September.
    • Handle: RePEc:gam:jlogis:v:8:y:2024:i:3:p:92-:d:1480014
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    References listed on IDEAS

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    1. Feng, Xuehao & Song, Rui & Yin, Wenwei & Yin, Xiaowei & Zhang, Ruiyou, 2023. "Multimodal transportation network with cargo containerization technology: Advantages and challenges," Transport Policy, Elsevier, vol. 132(C), pages 128-143.
    2. Daniela Ambrosino & Claudio Ferrari & Anna Sciomachen & Alessio Tei, 2018. "Ports, external costs, and Northern Italian transport network design: effects for the planned transformation," Maritime Policy & Management, Taylor & Francis Journals, vol. 45(6), pages 803-818, August.
    3. Hercules E. Haralambides, 2019. "Gigantism in container shipping, ports and global logistics: a time-lapse into the future," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(1), pages 1-60, March.
    4. Pohl, Erik & Geldermann, Jutta, 2024. "Selection of multi-criteria energy efficiency and emission abatement portfolios in container terminals," European Journal of Operational Research, Elsevier, vol. 316(1), pages 386-395.
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