Email this article Overview of simulation modeling capabilities for optimizing seaport operations in AnyLogic: a development algorithm
- Authors: Shevchenko A.M.1
-
Affiliations:
- Admiral G.I. Nevelsky Maritime State University
- Issue: Vol 12, No 2 (2025)
- Pages: 82-97
- Section: COMPUTER MODELING AND DESIGN AUTOMATION SYSTEMS
- URL: https://journal-vniispk.ru/2313-223X/article/view/309721
- DOI: https://doi.org/10.33693/2313-223X-2025-12-2-82-97
- EDN: https://elibrary.ru/QSQYPQ
- ID: 309721
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Abstract
The relevance of the research is due to the need to increase the efficiency and competitiveness of seaports in the context of constantly growing volumes of cargo transportation, as well as the need to develop effective tools for analyzing and optimizing complex processes occurring in the port infrastructure. This article presents the process of developing a simulation model of a seaport using AnyLogic software. The aim of the work is to create a tool for analyzing and optimizing various aspects of the port's operation, including ship handling, loading and unloading operations, warehouse management and traffic flows. The key elements of the model are described, such as agents (ships, cranes, loaders, transport), the logic of their interaction, and parameters that affect system performance. The possibility of using the developed model for making informed management decisions aimed at increasing efficiency and optimizing the operation of the seaport is shown.
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##article.viewOnOriginalSite##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, VladivostokReferences
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Supplementary files
Supplementary Files
Action
1.
JATS XML
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Fig. 1. General view of the developed model
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Fig. 2. Buttons for viewing the corresponding areas of the model
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Fig. 3. Switching to the appropriate viewing area
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Fig. 4. Creation of parameters of the seaport model
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Fig. 5. The «Simulation» tab
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Fig. 6. Model variables
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Fig. 7. Variable controls
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Fig. 8. “Library – Agent type» tabs”
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Fig. 9. The application for the vessel
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Fig. 10. The logical variable "is_full"
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Fig. 11. Application- cargo
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Fig. 12. Loader resource
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Fig. 13. ResourcePool
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Fig. 14. Marking of the space for moving vessels
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Fig. 15. Marking of the space for moving goods
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Fig. 16. The attractors
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Fig. 17. Service variables
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Fig. 18. Setting the color visualization to display the values of variables
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Fig. 19. Text fields
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Fig. 20. Setting up text fields
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Fig. 21. Adding taps
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Fig. 22. Setting the dependence of crane properties on model parameters
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Fig. 23. Creating elements for collecting statistics
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Fig. 24. Process diagram of the model
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Fig. 25. Settings of the Source parameter in the model
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Fig. 26. Settings of the moveTo parameter in the model
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Fig. 27. Model blocks
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Fig. 28. Setting conditions for the ship's movement to the unloading point
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Fig. 29. The process of fulfilling the conditions for checking the occupancy of unloading points for a vessel
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Fig. 30. Setting the Select Output parameter
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Fig. 31. Setting the time record for the start of waiting for the vessel
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Fig. 32. Setting up transmission to standby time statistics
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Fig. 33. Setting up the transfer to the statistics of the start of unloading
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Fig. 34. Setting the delay time as a vessel mooring
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Fig. 35. Setting up the Hold block
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Fig. 36. Setting up the Seize block
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Fig. 37. Description of the unloading process
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Fig. 38. Ship exit from the model
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Fig. 39. Parameter setting MoveByCrane
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Fig. 40. Configuring the Sync parameter
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Fig. 41. Setting the first timer
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Fig. 42. Setting the second timer
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Fig. 43. Loader usage statistics
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Fig. 44. Crane employment statistics
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queue for the loader
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end point
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the loader is released
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the cargo is destroyed
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two timers - time delays
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