Determination of optimal parameters for efficient terminal operation by means of a simulation model in the AnyLogic environment

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Abstract

This article presents a study on determining the optimal parameters of terminal operation based on simulation modeling in the AnyLogic environment. The urgency of the work is due to the need to improve the efficiency of terminals in conditions of increasing intensity of cargo flows and limited resources. The purpose of the study is to analyze the simulation model of the terminal, which makes it possible to identify the optimal values of key parameters. To ensure a comprehensive assessment of the prospects for the development of the port infrastructure, various scenarios for the operation of the terminal have been developed. Each of the scenarios will be analyzed twice, with varying SPM performance, which will allow us to assess the impact of this parameter on the overall efficiency of the terminal. The article presents the results of computational experiments aimed at determining the influence of various parameters on the key performance indicators of the terminal. The results obtained can be used in the design of new terminals and the modernization of existing ones.

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About the authors

Anastasia M. Shevchenko

Admiral G.I. Nevelsky Maritime State University

Author for correspondence.
Email: anastasiya2100@bk.ru
SPIN-code: 6698-2474

postgraduate student

Russian Federation, Vladivostok

Alexander A. Dyda

Admiral G.I. Nevelsky Maritime State University

Email: adyda@mail.ru
SPIN-code: 1187-5058

Dr. Sci. (Eng.); Professor, Department of Automatic and Information Systems (AIS), Faculty of Electronics and Information Technologies

Russian Federation, Vladivostok

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Supplementary files

Supplementary Files
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1. JATS XML
2. Fig. 1. The animation tab of the basic scenario

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3. Fig. 2. PS employment in the base scenario (RSPM = 3500 t/h)

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4. Fig. 3. PS employment in the base scenario (RSPM = 4,500 t/h)

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5. Fig. 4. Animation tab of scenario No. 1

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6. Fig. 5. PS employment of scenario No. 1 (RSPM = 3500 t/h)

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7. Fig. 6. PS employment of scenario No. 1 (RSPM = 4,500 t/h)

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8. Fig. 7. Animation tab of scenario No. 2

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9. Fig. 8. PS employment of scenario No. 2 (RSPM = 3500 t/h)

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10. Fig. 9. PS employment in scenario No. 2 (RSPM = 4,500 t/h)

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11. Fig. 10. Animation tab of scenario No. 3

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12. Fig. 11. PS employment of scenario No. 3 (RSPM = 3500 t/h)

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13. Fig. 12. PS employment in scenario No. 3 (RSPM = 4,500 t/h)

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14. Fig. 13. The number of homogeneous ship flows

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15. Fig. 14. Intervals of ship arrivals of homogeneous ship flows

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16. Fig. 15. PS resource utilization rate

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17. Fig. 16. Average queue time

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18. Fig. 17. Average length

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