Preview

RUSSIAN RAILWAY SCIENCE JOURNAL

Advanced search

System analysis of mathematical models of placement of transport and logistics facilities of different levels

https://doi.org/10.21780/2223-9731-2022-81-3-267-276

Abstract

Introduction. The formation of an overarching network of nodal freight multimodal transport and logistics centres in the Russian Federation and organisation of high-speed freight traffic on schedule on its basis requires the development of science-based proposals for the creation or modernisation of the corresponding regional transport and logistics infrastructure. One of the most important tasks in the implementation of this project in the context of limited investment resources is the correct justification of the number and choice of locations for the transport and logistics centres of the overarching network in the Russian Federation, as well as the locations of transport and logistics centres in the constituent entities of the Russian Federation.

Materials and methods. This article provides an evaluation analysis of the classical methods for finding optimal centres on a plane and some construction of mathematical quantitative models for the optimal placement of transport and logistics facilities.

Results. According to the evaluation analysis, the authors have drafted a scientifically based concept of a systematic approach to the issues of rational design and placement of elements of transport and logistics infrastructure, in particular, the overarching network of nodal freight multimodal transport and logistics centres, as part of a new highly efficient transport and logistics infrastructure of the Russian Federation and its international transport corridors.

Discussion and conclusion. The obtained results of the study can be used for scientifically based decision-making in investment projects related to the development of transport and logistics infrastructure at both regional and federal levels: substantiation of locations and technological capacities of transport and logistics infrastructure facilities; determining the need for the development of objects of the regional transport and logistics infrastructure, while eliminating their bottlenecks; implementation of a phased set of measures to modernise the existing terminal and logistics complex.

About the Authors

O. V. Moskvichev
Samara State Transport University
Russian Federation

Oleg V. MOSKVICHEV, Dr. of Sci. (Engineering), Associate Professor, Head of the Operations Management Department

443066, Samara, 2v, Svobody St.



E. E. Moskvicheva
Samara State Transport University
Russian Federation

Elena E. MOSKVICHEVA, Cand. of Sci. (Engineering), Associate Professor, Associate Professor of the Department of Freight and Commercial Work Technologies, Stations and Junctions

443066, Samara, 2v, Svobody St.



References

1. Moskvichev O. V. Metodologiya organizatsii funktsionirovaniya konteynerno-transportnoy sistemy na osnove klientoorientirovannosti [Methodology for organizing the functioning of a container-transport cuctomer-oriented system]. Dr. of Sci. thesis: 05.22.01. Moscow; 2019. 417 p. (In. Russ.).

2. Protasov V. Yu. Maksimumy i minimumy v geometrii [Maxima and Minima in Geometry]. Moscow: Moscow Centre of Cont. Math. Ed. Publ.; 2005. 56 p. (In. Russ.).

3. Ishfaq R., Sox C. R. Hub location – allocation in intermodal logistic networks. European Journal of Operational Research. 2011; 210(2):213-230.

4. Lin C. C., Chiang Y. I., Lin S. W. Efficient model and heuristic for the intermodal terminal location problem. Computers and Operations Research. 2014;(51):41-54.

5. Abbassi A., Hilali Alaoui A. E., Boukachour J. Robust optimisation of the intermodal freight transport problem: Modeling and solving with an efficient hybrid approach. Journal of Computational Science. 2019;(30):127.

6. Lin C. C., Lin S. W. Two-stage approach to the intermodal terminal location problem. Computers and Operations Research. 2016;(67):113-119. https://doi.org/10.1016/j.cor.2015.09.009.

7. Kumar A., Anbanandam R. Location selection of multimodal freight terminal under STEEP sustainability. Research in Transportation Business and Management. 2019;(33):33.

8. Brandeau M. L., Chin S. S. An overview of representative problems in location research. Management Science. 1989;35(6):645-674.

9. Moskvichev O. V. Klientoorientirovannaya konteynernaya transportnaya sistema [Client-oriented container transport system]. Moscow: VINITI RAN Publ.; 2018. 186 p. (In. Russ.).

10. Eremeev A. V., Zaozerskaya L. A., Kolokolov A. A. Zadacha o pokrytii mnozhestva: slozhnost', algoritmy, eksperimental'nye issledovaniya [Set Covering Problem: Complexity, Algorithms, Experimental Investigations]. Diskretnyy analiz i issledovanie operatsiy. Seriya 2 = Discrete Analysis and Operations Research. Series 2. 2000;7(2):22-46. (In. Russ.).

11. Kirillova A. G. Metodologiya organizatsii konteynernykh i kontreylernykh perevozok v mul'timodal'nykh avtomobil'nozheleznodorozhnykh soobshcheniyakh [Methodology for organizing container and piggyback transportation in multimodal road and rail communications]. Dr. of Sci. thesis synopsis: 05.22.01. Moscow; 2010. 47 p. (In. Russ.).

12. Esipov B. A. Issledovanie algoritmov resheniya obobshchennoy zadachi o minimal'nom pokrytii [Investigation of algorithms for solving the generalized minimum coverage problem]. Izvestiya Samarskogo nauchnogo tsentra Rossiyskoy akademii nauk = Izvestia of Samara Scientific Center of the Russian Academy of Sciences (Izvestia RAS SamSC). 2014;4(2):308-312. (In. Russ.).

13. Esipov B. A. Metody issledovaniya operatsiy [Operations research methods]. Textbook. 2nd ed. St. Petersburg: Lan' Publ.; 2013. 304 p. (In. Russ.).

14. Kuznetsov A. V., Sakovich V. A., Kholod N. I. Vysshaya matematika. Matematicheskoe programmirovanie [Higher Mathematics. Mathematical programming]. Textbook. 3rd ed. St. Petersburg: Lan' Publ.; 2010. 352 p. (In. Russ.).

15. Nguen M. Kh. Primenenie geneticheskogo algoritma dlya zadachi nakhozhdeniya pokrytiya mnozhestva [Application of a genetic algorithm for the problem of finding a set cover]. Trudy Instituta sistemnogo analiza Rossiyskoy akademii nauk = Proceedings of the Institute of System Analysis of the Russian Academy of Sciences. 2008;(33):206-219. (In. Russ.).

16. General'naya skhema razvitiya seti transportno-logisticheskikh tsentrov (TLTs) [General scheme for the development of a network of transport and logistics centres (TLC)]. Ministry of Transport of the Russian Federation. Moscow: Rostransmodernizatsiya Publ.; 2019. 49 p. (In. Russ.).

17. Moskvichev O., Nikishchenkov S., Moskvicheva E. Optimization of production and transport infrastructure based on cluster analysis me thods. E3S Web of Conferences: Topical Problems of Green Architecture, Civil and Environmental Engineering, TPACEE 2019 (Moscow, November 20–22, 2019). Moscow: EDP Sciences; 2020. P. 03008.

18. Moskvichev O., Moskvicheva E., Bulatov A. Clustering Me thods for Determination of Optimal Locations of Container Storage and Distribution Centers. Transportation Research Procedia. 2021;(54):461-469.


Review

For citations:


Moskvichev O.V., Moskvicheva E.E. System analysis of mathematical models of placement of transport and logistics facilities of different levels. RUSSIAN RAILWAY SCIENCE JOURNAL. 2022;81(3):267-276. (In Russ.) https://doi.org/10.21780/2223-9731-2022-81-3-267-276

Views: 379


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2223-9731 (Print)
ISSN 2713-2560 (Online)