Modeling the operation of a universal seaport using a controlled queueing network
The article focuses on developing a methodology to model the transshipment process in universal seaports. The proposed models have the form of a controlled queuing network, which receives multiple incoming flows of requests representing the arrival of goods via both land and sea transport. We employ different types of queueing systems, including controlled systems that adjust operational parameters based on predefined rules, to model the various subsystems of the port. This approach allows the model to account for the impact of random factors on port operations, as well as changes in transshipment technology across subsystems. To validate the methodology, we apply it to the universal seaport of Quang Ninh, Vietnam. A numerical analysis of the port’s model provides insights into its current throughput capacity and forecasts operational efficiency under increased cargo flows. Contribution of the authors: the authors contributed equally to this article. The authors declare no conflicts of interests.
Keywords
queueing theory,
universal seaport,
mathematical modelingAuthors
| Vu Giang Hoang | Irkutsk National Research Technical University | giangtrang14022016@gmail.com |
| Zharkov Maxim L. | Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of the Russian Academy of Sciences | zharkm@mail.ru |
| Kazakov Alexander L. | Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of the Russian Academy of Sciences; Irkutsk National Research Technical University | kazakov@icc.ru |
Всего: 3
References
Ботвинов В.Ф. Устройство и оборудование морского порта. М. : РУТ (МИИТ), 2012. 128 с.
024 Review of maritime transport : United Nations conference on trade and development. URL: https://unctad.org/system/files/official-document/rmt2024_en.pdf (accessed: 15.05.2025).
Вишневский В.М. Теоретические основы проектирования компьютерных сетей. М. : Техносфера, 2003. 512 с.
Edmond E.D., Maggs R.P. How useful are queue models in port investment decisions for container berths? // Journal of the Opera tional Research Society. 1978. V. 29 (8). P. 741-750. doi: 10.1057/jors.1978.162.
Roy D., De Koster R. Optimal stack layout configurations at automated container terminals using queuing network models // Hand book of Terminal Planning / J.W. Bose (ed.). Springer-Verlag, 2020. P. 437-461. doi: 10.1007/978-3-030-39990-0_19.
Zhang X., Li H., Wu M. Optimization of resource allocation in automated container terminals // Sustainability. 2022. V. 14 (24). Art. 16869. doi: 10.3390/su142416869.
Roy D., De Koster R., Bekker R. Modeling and Design of Container Terminal Operations // Operations Research. 2020. V. 68 (3). P. 686-715. doi: 10.1287/opre.2019.1920.
Legato P., Mazza R.M. Queueing analysis for operations modeling in port logistics // Maritime Business Review. 2020. V. 5 (1). P. 67-83. doi:10.1108/MABR-09-2019-0035.
Babeli K., Hess S., Hess M. Capacity utilization of the container terminal as multiphase service system // European Transport. 2022. V. 86 (4). P. 1-15.
Guo S., Wang H., Wang S.Network disruptions and ripple effects: queueing model, simulation, and data analysis of port congestion // Journal of Marine Science and Engineering. 2023. V. 11 (9). Art. 1745. doi: 10.3390/jmse11091745.
Kazakov A., Lempert A., Zharkov M. Modeling of a coal transshipment complex based on a queuing network // Applied Sciences. 2024. V. 14 (16). Art. 6970. doi: 10.3390/app14166970.
Лемперт А.А., Жарков М.Л., Казаков А.Л., Ву Х.З. Моделирование морского контейнерного терминала с использованием сети массового обслуживания // Управление большими системами. 2024. № 112. С. 310-337.
Ву Х.З. Исследование универсального морского порта во Вьетнаме с использованием сети массового обслуживания // System Analysis & Mathematical Modeling. 2025. Т. 7, № 1. С. 72-83.
Назаров А.А. Управляемые системы массового обслуживания. Томск : Том. гос. ун-т, 1984. 234 с.
Полин Е.П., Моисеева С.П., Рожкова С.В. Асимптотический анализ неоднородной системы массового обслуживания M|M| да в марковской случайной среде // Вестник Томского государственного университета. Управление, вычислительная техника и информатика. 2019. № 47. С. 75-83. doi: 10.17223/19988605/47/9.
Цициашвили Г.Ш., Харченко Ю.А. Управляемые системы массового обслуживания со стационарным равномерным распределением // Вестник Томского государственного университета. Управление, вычислительная техника и информатика. 2024. № 68. С. 59-65. doi: 10.17223/19988605/68/6.
