journal article·2024-08-08Open access

Modeling of a Coal Transshipment Complex Based on a Queuing Network

Alexander Kazakov, Anna Lempert, Maxim Zharkov

Applied Sciences· Volume 14· Issue 16

Abstract

This article concerns the problem of estimating the throughput and forecasting the operation of a coal transshipment complex that comprises a marine coal terminal and a railway station. Scenario modeling is employed to address this issue. The mathematical model of the transshipment complex has the form of a queuing network, which allows us to take into account the impact of random factors on the arrival of trains and departure of vessels from the system and their handling. In the model, we use the batch marked Markovian arrival process (BMMAP), which allows for the batch arrival of several types of requests, to describe the arrival of different categories of trains. Various queuing systems model particular structural elements of the complex to consider peculiarities of their work. We investigate the coal transshipment complex, which includes one of the largest and most modern coal export terminals in Russia. Based on the results of a numerical study, we estimate its current and maximum throughput, find bottlenecks in the system structure, and forecast its performance after the planned modernization. We also discuss the advantages and limitations of the model presented and its potential extension.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Maritime Ports and Logistics · Urban and Freight Transport Logistics · Transportation Planning and Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences (ISDCT SB RAS), Irkutsk 664033, Russia

Funding

Russian Science Foundation

References (50)

Show source-provided references
1. (1991). UNCTAD Monographs on Port Management—Multi-Purpose Port Terminals. Recommendations for Planning and Management, UNITED NATIONS.
2. Gaythwaite, J.W. (2016). Design of Marine Facilities: Engineering and Design of Port and Harbor Structures, American Society of Civil Engineers.10.1061/9780784414309 ↗
3. Probabilistic analysis of the sustainable performance of container terminals
4. Rožić, T., Ivanković, B., Bajor, I., and Starčević, M. (2022). A Network-Based Model for Optimization of Container Location Assignment at Inland Terminals. Appl. Sci., 12.10.3390/app12125833 ↗
5. Transshipment of containers at a container terminal: An overview10.1016/S0377-2217(02)00293-X ↗
6. Scheduling wagons to unload in bulk cargo ports with uncertain processing times10.1016/j.cor.2023.106364 ↗
7. (1985). UNCTAD Port Development—A Handbook for Planners in Developing Countries, UNITED NATIONS.
8. How useful are queue models in port investment decisions for container berths?10.1057/jors.1978.162 ↗
9. A simulation method in modeling exploitation factors of seaport queuing systems
10. Law, A.M., and Kelton, W.D. (2000). Simulation Modelling and Analysis, McGraw-Hill. [3rd ed.].
11. Kerner, B.S. (2009). Introduction to Modern Traffic Flow Theory and Control, Sprinter.10.1007/978-3-642-02605-8 ↗
12. Container terminal gate appointment system optimization10.1057/mel.2009.13 ↗
13. New Queuing Theory Applied to Port Terminals and Proposal for Practical Application in Container and Bulk Terminals10.1061/(ASCE)WW.1943-5460.0000535 ↗
14. Mallick, P.K., Bhoi, A.K., González-Briones, A., and Pattnaik, P.K. (2022). Queuing Theory-Based Analysis of Berth Allocation and Management in Paradip Port for Container Ships. Electronic Systems and Intelligent Computing, Springer.10.1007/978-981-16-9488-2 ↗
15. Comparison of analytical and simulation planning models of seaport container terminals10.1080/03081069708717591 ↗
16. Mathematical Models of Multiserver Queuing System for Dynamic Performance Evaluation in Port
17. Optimization of truck appointments in container terminals10.1057/s41278-018-0105-0 ↗
18. A new vocation queuing model to optimize truck appointments and yard handling-equipment use in dual transactions systems of container terminals10.1016/j.cie.2022.108216 ↗
19. Queueing network models for the analysis and optimisation of material handling systems: A systematic literature review10.1007/s10696-023-09505-x ↗
20. An integrated simulation-optimization framework for the operational planning of seaport container terminals10.1080/13873950902808636 ↗
21. Yard Crane Management by Simulation and Optimisation10.1057/mel.2008.23 ↗
22. Böse, J.W. (2020). Optimal Stack Layout Configurations at Automated Container Terminals Using Queuing Network Models. Handbook of Terminal Planning, Springer.
23. Using time-varying tolls to optimize truck arrivals at ports10.1016/j.tre.2011.04.001 ↗
24. Reducing truck emissions at container terminals in a low carbon economy: Proposal of a queueing-based bi-objective model for optimizing truck arrival pattern10.1016/j.tre.2013.03.008 ↗
25. Optimization model for truck appointment in container terminals10.1016/j.sbspro.2013.08.219 ↗
26. Roy, D., Scheinhardt, W., and van Ommeren, J.-K. (2023, January 19–23). A Fluid Flow Queuing Network Model for Performance Analysis of Bulk Liquid Terminals. Proceedings of the 16th Proceedings of Progress in Material Handling Research, Dresden, Germany. Available online: https://digitalcommons.georgiasouthern.edu/pmhr_2023/23.
27. Some Methods of Increasing the Efficiency of River Transport System10.1016/j.proeng.2017.01.106 ↗
28. Mengzhi, M., Fan, H., Jiang, X., and Guo, Z. (2019). Truck Arrivals Scheduling with Vessel Dependent Time Windows to Reduce Carbon Emissions. Sustainability, 11.10.3390/su11226410 ↗
29. Capacity utilization of the container terminal as multiphase service system
30. A queuing network model for the management of berth crane operations10.1016/j.cor.2006.12.001 ↗
31. Queueing analysis for operations modeling in port logistics10.1108/MABR-09-2019-0035 ↗
32. Queueing networks for supporting container storage and retrieval10.1108/MABR-01-2023-0009 ↗
33. A Stochastic Model for Interterminal Container Transportation10.1287/trsc.2016.0726 ↗
34. Solving semi-open queuing networks with time-varying arrivals: An application in container terminal landside operations10.1016/j.ejor.2017.12.020 ↗
35. Modeling landside container terminal queues: Exact analysis and approximations10.1016/j.trb.2022.05.012 ↗
36. An intelligent management system for the development of a regional transport logistics infrastructure10.1134/S0005117916020090 ↗
37. Bychkov, I., Kazakov, A., Lempert, A., and Zharkov, M. (2021). Modeling of railway stations based on queuing networks. Appl. Sci., 11.10.3390/app11052425 ↗
38. On Modeling a Section of a Single-Track Railway Network Based on Queuing Networks
39. An approach to railway network sections modeling based on queuing networks
40. Global Energy Monitor (2024, July 17). Daltransugol Coal Terminal. Available online: https://www.gem.wiki/Daltransugol_coal_terminal.
41. (2024, July 17). Daltransugol JSC. Available online: https://dtu.net.ru/.
42. Mathematical and simulation techniques for modelling urban train networks
43. Dudin, A.N., Klimenok, V.I., and Vishnevsky, V.M. (2020). The Theory of Queuing Systems with Correlated Flows, Springer.10.1007/978-3-030-32072-0 ↗
44. Medhi, J. (2002). Stochastic Models in Queuing Theory, Academic Press. [2nd ed.].
45. Morstroytechnology Company (2024, July 17). Morstroytechnology Continues to Work on a Project to Increase the Capacity of the Daltransugol Terminal. (In Russian).
46. Protocol of Public Discussions of the Project Documentation (2024, July 17). Increasing the Transshipment Capacity of JSC Daltransugol to 40 Million Tons of Coal per Year. (In Russian).
47. Transient process modeling in micrologistic transport systems10.1088/1755-1315/629/1/012023 ↗
48. Ng, C.-H., and Boon-Hee, S. (2008). Queueing Modelling Fundamentals with Applications in Communication Networks, John Wiley & Sons.10.1002/9780470994672 ↗
49. (2024, July 17). Increase in the Transshipment Capacity of Daltransugol JSC to 40 Million Tons of Coal per Year. Morstroytechnology. St. Petersburg. (In Russian).
50. Modelling the Berths Throughput of Export Coal Terminal with Stochastic Methods