Науковий вісник НГУ

Improvement of efficiency of processes of mining product processing at ­transport hubs

• 
• 

User Rating:  / 1

PoorBest 

Details

Category: Content №1 2020

Last Updated on 09 April 2020

Published on 10 March 2020

Hits: 3392

Authors:

Ya.Litvinova, Cand. Sc. (Tech.), orcid.org/0000-0003-2806-4076, Dnipro University of Technology, Dnipro, Ukraine, e‑mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

K.Nosal-Hoy, PhD, orcid.org/0000-0002-7221-5487, Cracow University of Technology, Kraków, Poland, e‑mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

K.Solecka, PhD, orcid.org/0000-0002-8796-7729, Cracow University of Technology, Kraków, Poland, e‑mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

I.Taran, Dr. Sc. (Tech.), Prof., orcid.org/0000-0002-3679-2519, Dnipro University of Technology, Dnipro, Ukraine, e‑mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2020, (1):141-145
https://doi.org/10.33271/nvngu/2020-1/141

 повний текст / full article

Abstract:

Purpose. Improvement of efficiency of processes of overloading products of mining enterprises at transport hubs. Substantiation of directions of optimization of logistic management processes and optimal characteristics of production resources and organizational influences at logistic management at a multimodal transport hub. Determination of economic effect from substantiation of these characteristics.

Methodology. Mathematical modeling methods and a systematic approach were used to formalize the object of study. Simulation modeling techniques were used to develop the model of the research object. In order to determine the dependence of the efficiency criterion of transport node operation on the parameters of material flows and numerical characteristics of production resources, regression analysis methods were applied.

Findings. Based on the study, it is proposed to use a specific measure of efficiency, which is the ratio of profit from customer service at the transport hub to the cost of production resources involved in the process of service. On the basis of the developed model of the transport node, it is possible to solve the aimed tasks for the improvement of logistic management and processing of products of mining enterprises at transport hubs.

Originality. An approach to improvement of logistic management of transport hubs at the expense of substantiation of optimal parameters of production resources and selection of the most effective version of technological process of customer service is offered.

Practical value. It consists in the development of approaches to determining the most effective version of servicing material flows, as well as to determining the optimal numerical characteristics of production resources of a transport node.

References.

1. Shramenko, N., & Muzylyov, D. (2020). Forecasting of Overloading Volumes in Transport Systems Based on the Fuzzy-Neural Model. In: Ivanov, V., Trojanowska, J., Ma­cha­do, J., Liaposhchenko, O., Zajac, J., Pavlenko, I., ... Perakovic, D. (Eds.) Advances in Design, Simulation and Manufacturing II. DSMIE 2019. Lecture Notes in Mechanical Engineering. Springer, 311-320.

2. Turpak, S. M., Taran, I. O., Fomin, O. V., & Tretiak, O. O. (2018). Logistic technology to deliver raw material for metallurgical production. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (1), 162-169. https://doi.org/10.29202/nvngu/2018-1/3.

3. Korniyetskyy, O. V. (2015). Theoretical Basis for the Development of Regional and Interregional Transport and Logistic Systems. Business navigator, 1(36), 107-112.

4. Sładkowski, A., & Cieśla, M. (2015). Influence of a potential railway line connecting the Caspian Sea with the Black Sea on the development of Eurasian trade. Nase More, 62(4), 264-271. https://doi.org/10.17818/NM/2015/4.4.

5. Okorokov, A. M., Vernigora, R. V., & Tsuprov, P. S. (2016). River transport of Ukraine: current state and prospects. Transport Systems and Transportation Technologies, (12), 62-68. https://doi.org/10.15802/tstt2016/85886.

6. Taran, I. A. (2012). Interrelation of circular transfer ratio of double-split transmissions with regulation characteristic in case of planetary gear output. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (3), 75-85.

7. Kravets, V. V., Sakhno, V. P., Bass, K. M., & Kravets, V. I. (2018). Program spatial movement of high-speed vehicles. IOP Conference Series: Materials Science and Engineering, 383(1), 012032. https://doi.org/10.1088/1757-899X/383/1/012032.

8. Okorokov, A. M. (2015). Analysis of the prospects development container market in ukraine. Transport Systems and Transportation Technologies, 0(10), 98. https://doi.org/10.15802/tstt2015/57075.

9. Alyoshinsky, Ev. S., Svitlychna, S. O., & Bagno, A. M. (2014). Investigation of possible variants of delivery of international freight traffic in mixed traffic within the transport system of Ukraine. Collection of Scientific Works of the Ukrainian State Academy of Railway Transport, 144. 45-49.

10. Kozachenko, D., Skalozub, V., Gera, B., Hermaniuk, Yu., Korobiova, R., & Gorbova, A. (2019). A model of transit freight distribution on a railway network. Transport Problems, 14(3), 17-26. https://doi.org/10.20858/tp.2019.14.3.2.

11. Sokolova, O. Ye. (2014). Conceptual bases of formation of multimodal transportation system. Naukoiemni tekhnolohii, 1, 114-118.

12. Sładkowski, A., Utegenova, A., Kolga, A. D., Gavrishev, S. E., Stolpovskikh, I., & Taran, I. (2019). Improving the efficiency of using dump trucks under conditions of career at open mining works. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (2), 36-42. https://doi.org/10.29202/nvngu/2019-2/8.

13. Vuyeykova, O., Sładkowski, A., Stolpovskikh, I., & Akhmetova, M. (2016). Rationalization of Road Transport Park for the Carriage of Mining Rocks in the Open Mines. Transport Problems, 11(1), 79-85. https://doi.org/10.20858/tp.2016.11.1.8.

14. Nagorny, Ye., Naumov, V., & Ivanchenko, A. (2012). Analysis of modern approaches of increasing the efficiency of international cargo delivery logistics systems. Transport systems and delivery technologies, 3, 68-72.

15. Shramenko, N., Pavlenko, O., & Muzylyov, D. (2019). Information and Communication Technology: Case of Using Petri Nets for Grain Delivery Simulation at Logistics System. CEUR Workshop Proceedings, 2353, 935-949.

16. Naumov, V. (2017). Estimating the Vehicles’ Number for Servicing a Flow of Requests on Goods Delivery. Transportation Research Procedia, 27, 412-419. https://doi.org/10.1016/j.trpro.2017.12.063.

17. Nagorny, Ye., Naumov, V., & Ivanchenko, A. (2012). Model of a cargo delivery logistics system between Ukraine and Belarus. Transport systems and delivery technologies, 4, 70-74.

18. Demydenko, M. (2018). Method of selection of ERP systems using multi-criterial optimization models. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (5), 132-137. https://doi.org/10.29202/nvngu/2018-5/21.

19. Naumov, V., Nagornyi, I., & Litvinova, Y. (2015). Model of multimodal transport node functioning. Archives of Transport, 36(4), 43-54. https://doi.org/10.5604/08669546.1185202.

20. Lyfar, V. V. (2017). Development of transport logistics in the regional system of commodity flows service. Marketing and Management of Innovations, (4), 176-187. https://doi.org/10.21272/mmi.2017.4-15.

• < Prev
• Next >