A method of determination of port terminal capacity under irregular cargo delivery and pickup
DOI:
https://doi.org/10.15587/1729-4061.2016.76285Keywords:
a port terminal, a capacity, irregularity of delivery and pickup of cargoes, service systemAbstract
There was built up and analyzed a stochastic model of a work of a port terminal that takes into consideration irregularity of delivery and pickup of a cargo. It is supposed that a terminal consists of n interchangeable moorages, in which there is carried out loading to ships. The ships arrive to a terminal to take a cargo independently on each other, their total number is equal to N. Time from departure of any loaded ship to the moment of its arrival to a terminal is a random variable that is distributed according to the exponentional law. All cargoes, that come to a terminal with a help of land transport, are immediately unloaded to a storehouse. It is supposed that a stream of incoming cargoes is described with a model of the compound Poisson process with zero drift. From a storehouse cargoes are loaded to any shipl that is in a moorage, with the rate W. With use of non-standard type of the Markov process with drift for finding of limit join distribution of number of ships, that are in moorages, and amount of cargo, that is in a storehouse, there is got a system of integral-differential equations together with relevant boundary conditions. There is given a method of solving of this boundary-value problem, that is based on use of the Laplace-Stieltjes transformation for getting of a solution in a closed form. It gives a possibility to get simple calculation formulae for assessment of indices of capacity of a terminal: the average number of ships in moorages, the average amount of cargo in a storehouse, possibility of demurrage of ships because of absence of cargoes in a storehouse and etc. There are given examples of practical use of the got theoretical results, namely: a method of calculation of necessary capacity of a storehouse, assessment of a term of recoupment of a project of construction of a terminal. They showed that the worked out method of calculation of capacity of a port terminal in conditions of irregularity of a work of transport can be used in project calculations.
References
- Semenov, K. M. (2013). Method of processes systematization in discrete-event model of sea port. Bulletin of AGTU. Ser.: Sea technique and technology, 2, 184–192.
- Rizzoli, A. E., Fornara, N., Gambardella, L. M. (2002). A simulation tool for combined rail/road transport in intermodal terminals. Mathematics and Computers in Simulation, 59 (1-3), 57–71. doi: 10.1016/s0378-4754(01)00393-7
- Macharis, C., Bontekoning, Y. M. (2004). Opportunities for OR in intermodal freight transport research: A review. European Journal of Operational Research, 153 (2), 400–416. doi: 10.1016/s0377-2217(03)00161-9
- Postan, M. Ya. (2006). Economic-mathematical models of multimodal transport. Odessa: Astroprint, 376.
- Imakita, J. (1978). Techno-economic analysis of the port transport system. Saxon House, England, 216.
- Gorbatyi, M. M. (1981). Theory and practice of sea ports capacities optimization. Moscow: Transport, 168.
- Smekhov, A. A. (1982). Mathematical models of cargo handling. Moscow: Transport, 255.
- Zil’dman, V. Ya., Poddubniy, G. V. (1977). Interaction of transport flows of the Poisson type without regulation. Economics and Mathematical Methods, 13 (3), 524–535.
- Zil’dman, V. Ya., Poddubniy, G. V. (1985). Model of interaction of ships flow and railway wagons flow. Marine Fleet and Ports: Problems of Development and Activity Improvement. Moscow: V/O “Mortechinformreklama”, 55–60.
- Kruk, Yu., Postan, M. (2016). Development and analysis of dynamic optimization model of transport flows interaction aт port terminal. Eastern-European Journal of Enterprise Technologies, 1 (3 (79)), 19−23. doi: 10.15587/1729-4061.2016.61154
- SteadieSeifi, M., Dellaert, N. P., Nuijten, W., Van Woensel, T., Raoufi, R. (2014). Multimodal freight transportation planning: A literature review. European Journal of Operational Research, 233 (1), 1–15. doi: 10.1016/j.ejor.2013.06.055
- Ursavas, E., Zhu, S. X. (2016). Optimal policies for the berth allocation problem under stochastic nature. European Journal of Operational Research, 255 (2), 380–387. doi: 10.1016/j.ejor.2016.04.029
- Li, G., Hu, D., Su, L. (2013). The Model of Location for Single Allocation Multimodal Hub Under Capacity Constraints. Procedia – Social and Behavioral Sciences, 96, 351–359. doi: 10.1016/j.sbspro.2013.08.042
- Postan, M. Ya., Kurudzhi, Yu. V. (2012). Modeling the influence of transport units movements irregularity on storage level of cargo at warehouse. Acta Systemica, XII (1), 31−36.
- Prabhu, N. U. (1997). Stochastic storage processes: queues, insurance risk, dams, and data communications. 2nd edition. NY−Berlin−Heidelberg: Springer, 206.
- Feller, W. (1971). An introduction to probability theory and its applications. Vol. 2. NY: J. Wiley & Sons, Inc., 660.
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