Model of multimodal transport node functioning

Vitalii Naumov; Ievhen Nagornyi; Yana Litvinova

doi:10.5604/08669546.1185202

Authors

Vitalii Naumov Kharkiv National Automobile and Highway University, Transport Systems Department, Kharkiv, Ukraine Author
Ievhen Nagornyi Kharkiv National Automobile and Highway University, Transport Systems Department, Kharkiv, Ukraine Author
Yana Litvinova National Mining University, Mechanical Engineering Department, Dnipropetrovsk, Ukraine Author

DOI:

https://doi.org/10.5604/08669546.1185202

Keywords:

transport node, technological process, logistics management, system approach, efficiency criterion, mathematical model

Abstract

To increase the efficiency of transport nodes functioning taking into account the logistics management principles it is necessary to optimize the structure and capacity of transport nodes' production resources, and to develop such a method for calculating of joint schedules for vehicles and freight hubs of the transport node, which takes into account stochastic nature of the parameters of material and informational flows. For solving the problems of optimal management of transport nodes functioning processes it is proposed to use the specific efficiency indicator, which is determined as a ratio of total costs of clients servicing in transport node to the costs of production resources used while servicing. According to the used approach for formalization of the transport node internal processes, development of the simulation model was implemented on the base of object-oriented programming principles. TransportNode.dll class library has been used as basic tool for simulations. The model implemented on the base of the library allows to take into account stochastic nature of demand and probabilistic nature of technological processes in transport nodes. Some results of numeric simulations for the loading area “Amur-Gavan” of Dnipropetrovsk River Port have been described in the paper.

References

BOZARTH, C.C. and HANDFIELD, R.B., 2006. Introduction to operations and supply chain management. Upper Saddle River, New Jersey: Prentice Education Inc.

FENG-LING, L. and ZHENG-YI, G., 2006. Synthetic Evaluation on Transfer of Rail Transit Terminal Based on AHP Method [J]. Railway Transport and Economy, 2006-04, pp. 79-81.

FLÓREZ, J.E., DE REYNA, A.T.A., GARCÍA, J., LÓPEZ, C.L., OLAYA, A.G. and BORRAJO, D., 2011. Planning Multi-Modal Transportation Problems. Proceedings of the Twenty-First International Conference on Automated Planning and Scheduling 2011, Association for the Advancement of Artificial Intelligence, pp. 66-73.

LI, G., HU, D. and SU, L., 2013. The Model of Location for Single Allocation Multimodal Hub Under Capacity Constraints. Procedia-Social and Behavioral Sciences, 96, pp. 351-359.

MAHROUS, R.F., 2012. Multimodal transportation systems: Modelling challenges. Thesis., University of Twente.

NAGORNYI, I.V., NAUMOV, V.S. and LITVINOVA, Y.V., 2014. Systemnyi pidhid do optymizatsiji protsesiv logistychnogo upravlinnia v transportnyh vuzlah. Zheleznodorozhnyj transport Ukrainy, 3(106), pp. 46-51.

NAUMOV, V.S., 2012. Transportno-ekspieditsionnoje obsluzhivanije v logisticheskih sistemah. Kharkiv: KhNAHU.

NAUMOV, V.S., 2013. Razvitije nauchno-tehnologicheskih osnov ekspeditorskogo obsluzhivanija na avtomobilnom transporte. Kharkiv National Automobile and Highway University.

NAUMOV, V.S., 2015a-last update, C# Code for Simulation of Transport Hub Functioning. Available:https://www.academia.edu/16472626/C_Code_for_Simulation_of_Transport_Hub_Functioning.

NAUMOV, V.S., 2015b-last update, C# Code for Generation of Stochastic Values. Available: https://www.academia.edu/11183292/C_code_for_generation_of_stochastic_values.

RACUNICA, I. and WYNTER, L., 2005. Optimal location of intermodal freight hubs. Transportation Research Part B: Methodological, 39(5), pp. 453-477.

STOCK, J.R. and LAMBERT, D.M., 2000. Strategic logistics management. New York: McGraw-Hill/Irwin Boston, MA.

SUN, Q. and CHENG, D., 2010. An Empirical Study of Fuzzy Quality Synthetic Evaluation of Comprehensive Transfer Hub Transfer Articulation. Technological Innovation Management, 31, pp. 164-166.

UKRRICHFLOT, 2015-last update, Natural logistics. Available: http://ukrrichflot.ua/en/.

ZAMENI, S. and RAZMI, J., 2015. Multimodal Transportation p-hub Location Routing Problem with Simultaneous Pick-ups and Deliveries. Journal of Optimization in Industrial Engineering, 8(17), pp. 11-20.