Computational Experiment in Optimization Modeling of Multimodal Cargo Transportation Process Based on Egalitarian Principles

Viktor Bogachev; Petr Kurenkov; Evgeniya Chebotareva; Aleksandra S. Kravec; Taras Bogachev

doi:10.20295/2223-9987-2022-3-151-162

UDC

656.2

COMPUTATIONAL EXPERIMENT IN OPTIMIZATION MODELING OF MULTIMODAL CARGO TRANSPORTATION PROCESS BASED ON EGALITARIAN PRINCIPLES Computational Experiment in Optimization Modeling of Multimodal Cargo Transportation Process Based on Egalitarian Principles

АА Аа

Published in Bulletin of scientific research results · Pages 151–162 · Rubric: HIGH TECHNOLOGIES FOR TRANSPORT

DOI: https://doi.org/10.20295/2223-9987-2022-3-151-162

Received: 22.09.2022 Accepted: 22.09.2022 Published: 22.09.2022

Authors

Viktor Bogachev

Petr Kurenkov

Evgeniya Chebotareva

Aleksandra S. Kravec

Taras Bogachev

Viktor Bogachev

Academic degree: candidate of physical and mathematical sciences

Science rang: docent

Rostov State Transport University Russian Federation · Rostov-on-Don

Petr Kurenkov

Academic degree: doctor of economic sciences ; candidate of technical sciences

Science rang: professor

Russian University of Transport (MIIT) Deputy Chief · Institute of Management and Digital Technologies · Russian Federation · Moscow

Evgeniya Chebotareva

Academic degree: candidate of technical sciences

Rostov State Transport University Associate Professor · Russian Federation · Rostov-on-Don

Aleksandra S. Kravec

Academic degree: candidate of technical sciences

Science rang: docent

Rostov State Transport University Russian Federation

Taras Bogachev

Academic degree: candidate of physical and mathematical sciences

Science rang: docent

Rostov State University of Economics Russian Federation · Rostov-on-Don

ABSTRACT

Purpose: To build an optimization model of multimodal cargo transportations in a port-side transport and technological system with the participation of rail and sea kinds of transport based on egalitarian principles, the model allows manipulating the values of parameters characterizing a transportation process and taking into account interests of transportation process participants within the frames of being considered cost indicators. Methods: An algorithm has been developed for planning the shipment and delivery of cargo flows to port station address in view of routing, time and cost parameters of transportation process which under, cost optimal values of being transported cargo and complex time indicators of transportation process are provided. One of the limitations in the optimization task is the volume of a ship batch that’s expected at any port unloading stations. The built mathematical model is a multi-criteria and multi-extreme task of nonlinear stochastic integer programming. The research theoretical and economic basis is the synthesis of the classical concepts of utilitarian and egalitarian approaches in a welfare theory that makes it possible to build sounded theoretically and demanded in practice the optimization models of multimodal freight transportation railway component. Results: Developed in analytical computing system environment the optimization algorithm provides opportunities along with Pareto optimal transportation plans for to find plans embodying “just in time” logistic concept, so at these plans, it is also achieved the balance of interests of transportation considered participants. Practical importance: An approach is proposed for to study freight transportation organization on a railway landfill wherein transportations are pursued within the framework of multimodal port-side transport and technological system. The developed models and algorithms can be recommended for practical use during the formation and analysis of logistic supply chains with rail and sea transport kind participation.

KEYWORDS

Transport systems, railway transport, sea transport, planning, optimization, computational experiment

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GOST

Bogachev V. A., Kurenkov P. V., Chebotareva E. A., Kravec A. S., Bogachev T. V. Computational Experiment in Optimization Modeling of Multimodal Cargo Transportation Process Based on Egalitarian Principles // Bulletin of scientific research results. 2022. no. 3. pp. 151-162. DOI: https://doi.org/10.20295/2223-9987-2022-3-151-162. (Date of access 07.09.2026).

MLA

Viktor Bogachev, Kurenkov P. V., Chebotareva E. A., Kravec A. S., Bogachev T. V.. "Computational Experiment in Optimization Modeling of Multimodal Cargo Transportation Process Based on Egalitarian Principles." Bulletin of scientific research results 2022.3 (2022): 151-162. DOI: https://doi.org/10.20295/2223-9987-2022-3-151-162.

APA

Bogachev V. A., Kurenkov P. V., Chebotareva E. A., Kravec A. S., Bogachev T. V. (2022). Computational Experiment in Optimization Modeling of Multimodal Cargo Transportation Process Based on Egalitarian Principles. Bulletin of scientific research results, 2022(3), 151-162. https://doi.org/10.20295/2223-9987-2022-3-151-162

Chicago

Viktor Bogachev, Kurenkov P. V., Chebotareva E. A., Kravec A. S., Bogachev T. V.. "Computational Experiment in Optimization Modeling of Multimodal Cargo Transportation Process Based on Egalitarian Principles." Bulletin of scientific research results 2022, no. 3 (2022): 151-162. https://doi.org/10.20295/2223-9987-2022-3-151-162.

WIKI

{{cite journal | author = Bogachev V. A., Kurenkov P. V., Chebotareva E. A., Kravec A. S., Bogachev T. V. | title = Computational Experiment in Optimization Modeling of Multimodal Cargo Transportation Process Based on Egalitarian Principles | journal = Bulletin of scientific research results | year = 2022 | volume = 2022 | issue = 3 | pages = 151-162 | doi = 10.20295/2223-9987-2022-3-151-162 }}

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COMPUTATIONAL EXPERIMENT IN OPTIMIZATION MODELING OF MULTIMODAL CARGO TRANSPORTATION PROCESS BASED ON EGALITARIAN PRINCIPLES Computational Experiment in Optimization Modeling of Multimodal Cargo Transportation Process Based on Egalitarian Principles

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