TOOL FOR ASSESSING THE RESOURCES REQUIREMENT OF A CONTAINER TERMINAL

A simulation model of a container terminal which is used for the technological resources assessment is described in the paper. Container handling equipment and terminal area are considered as the primal resources. The main characteristics of the model include the graphical container flow model of a container terminal, which consider all container handling operations in a container terminal. Operations technology is divided into three main activities - get, move and put, which enable flexible selection of equipment type (technology). The variation of the container flow volumes and equipment productivity on each activity are considered. The study shows that the model provides more reliable assessment of container terminal resources. The simulation results are visualized by two types of graphics: the probability density of the necessary number of equipment and cumulative distribution function. Accordingly, the required terminal area is defined according to applied technology. The model configuration is based on seaports resource assessment; however, the same approach can be used for dry ports. The simulation tool can be utilized in various use cases, including monitoring terminal effectiveness and required developments against different container volume scenarios, operation strategies and comparison between different technologies. Accordingly, the tool can be utilized by consultants and equipment supplier sales representatives during early stages of port design.

container terminal, simulation modelling, cargo handling equipment, terminal area, technology comparison, seaport, dry port, port design

1. Kuznetsov A. L. Planning Simulation Experiments in the Tasks of Studying the Operational Strategies of Container Terminals / A. L. Kuznetsov, A. V. Kirichenko, A. D. Semenov, H. Oja // TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation. - 2020. - Vol. 14. - No. 4. - Pp. 845-849. DOI: 10.12716/1001.14.04.08.

2. Kuznetsov A. L. Simulation Model of Container Land Terminals / A. L. Kuznetsov, A. V. Kirichenko, J. J. Eglit // TransNav: International Journal on Marine Navigation and Safety of Sea Transportation. - 2018. - Vol. 12. - No. 2. - Pp. 321-326. DOI: 10.12716/1001.12.02.13.

3. Kuznetsov A. L. Methodological problems of modern transportation logistics / A. L. Kuznetsov, A. V. Kirichenko // TransNav: International Journal on Marine Navigation and Safety of Sea Transportation. - 2018. - Vol. 12. - No. 3. - Pp. 611-616. DOI: 10.12716/1001.12.03.21.

4. Kaysi I. Optimal investment strategy in a container terminal: A game theoretic approach / I. Kaysi, N. Nehme // Maritime Economics & Logistics. - 2016. - Vol. 18. - Is. 3. - Pp. 250-263. DOI: 10.1057/mel.2015.7.

5. Lee T. W. A simulation study for the logistics planning of a container terminal in view of SCM / T. W. Lee, N. K. Park, D. W. Lee // Maritime Policy & Management. - 2003. - Vol. 30. - Is. 3. - Pp. 243-254. DOI: 10.1080/0308883032000114072.

6. Gharehgozli A. Container terminal layout design: transition and future / A. Gharehgozli, N. Zaerpour, R. de Koster // Maritime Economics & Logistics. - 2020. - Vol. 22. - Is. 4. - Pp. 610-639. DOI: 10.1057/s41278-019-00131-9.

7. Wiese J. Planning container terminal layouts considering equipment types and storage block design / J. Wiese, L. Suhl, N. Kliewer // Handbook of terminal planning. - Springer, New York, NY, 2011. - С. 219-245. DOI: 10.1007/978-1-4419-8408-1_12.

8. Кузнецов А. Л. Разработка методики расчета потребности в ресурсах, необходимых для выполнения складских операций / А. Л. Кузнецов, В. Н. Щербакова-Слюсаренко, Я. Я. Эглит // Вестник Государственного университета морского и речного флота имени адмирала С. О. Макарова. - 2017. - Т. 9. - № 4. - С. 724-734. DOI: 10.21821/2309-5180-2017-9-4-724-734.

9. Кузнецов А. Л. Планирование работы тыловых грузовых фронтов морских контейнерных терминалов методами имитационного моделирования / А. Л. Кузнецов, А. В. Кириченко, А. Д. Семенов // Вестник Государственного университета морского и речного флота имени адмирала С. О. Макарова. - 2019. - Т. 11. - № 2. - С. 243-253. DOI: 10.21821/2309-5180-2019-11-2-243-253.

10. Kuznetsov A. L. Analytical Assessment of Stochastic Spread of Demand for the Port Storage Capacity / L. Kuznetsov, H. Oja, A. D. Semenov // TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation. - 2020. - Vol. 14. - No. 4. - Pp. 841-844. DOI: 10.12716/1001.14.04.07.