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Optimising truck arrival management and number of service gates at container terminals

Optimising truck arrival management and number of service gates at container terminals Truck appointment systems have been applied in critical container ports in the United States due to their potential to improve handling operations. This paper aims to develop a truck appointment system to optimise the total cost experiencing at the entrance of container terminals by managing truck arrivals and the number of service gates satisfying a given level of service.Design/methodology/approachThe approximation of Mt/G/nt queuing model is applied and integrated into a cost optimisation model to identify (1) the number of arrival trucks allowed at each time slot and (2) the number of service gates operating at each time slot that ensure the average waiting time is less than a designated time threshold. The optimisation model is solved by the Genetic Algorithm and tested with a case study. Its effectiveness is identified by comparing the model's outcomes with observed data and other recent studies.FindingsThe results indicate that the developed truck appointment system can provide more than threefold and twofold reductions of the total cost experiencing at the terminal entrance compared to the actual data and results from previous research, respectively.Originality/valueThe proposed approach provides applicably coordinated truck plans and operating service gates efficiently to decrease congestion, emission and expenses. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Maritime Business Review Emerald Publishing

Optimising truck arrival management and number of service gates at container terminals

Minh, Chu Cong; Noi, Nguyen Van
Maritime Business Review , Volume 8 (1): 14 – Mar 7, 2023
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14 pages

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Publisher
Emerald Publishing
Copyright
© Pacific Star Group Education Foundation
ISSN
2397-3757
DOI
10.1108/mabr-08-2021-0060
Publisher site
See Article on Publisher Site

Abstract

Truck appointment systems have been applied in critical container ports in the United States due to their potential to improve handling operations. This paper aims to develop a truck appointment system to optimise the total cost experiencing at the entrance of container terminals by managing truck arrivals and the number of service gates satisfying a given level of service.Design/methodology/approachThe approximation of Mt/G/nt queuing model is applied and integrated into a cost optimisation model to identify (1) the number of arrival trucks allowed at each time slot and (2) the number of service gates operating at each time slot that ensure the average waiting time is less than a designated time threshold. The optimisation model is solved by the Genetic Algorithm and tested with a case study. Its effectiveness is identified by comparing the model's outcomes with observed data and other recent studies.FindingsThe results indicate that the developed truck appointment system can provide more than threefold and twofold reductions of the total cost experiencing at the terminal entrance compared to the actual data and results from previous research, respectively.Originality/valueThe proposed approach provides applicably coordinated truck plans and operating service gates efficiently to decrease congestion, emission and expenses.

Journal

Maritime Business Review – Emerald Publishing

Published: Mar 7, 2023

Keywords: Truck appointment system; Truck arrival management; Container terminals; Service gates; Queuing model

References

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