bricstransportТранспорт БРИКСBRIСS Transport2949-0812ФГБУ ДПО «УМЦ ЖДТ»10.46684/2022.1.5bricstransport-7Research ArticleУМНЫЙ ТРАНСПОРТ И ИНТЕЛЛЕКТУАЛЬНЫЕ СИСТЕМЫ ДЛЯ ИНДУСТРИИ 4.0SMART TRANSPORT AND INTELLIGENT SYSTEMS FOR THE INDUSTRY 4.0Исследование оборота вагона в современных условияхA Study of Wagon Turnaround in the Current Contexthttps://orcid.org/0000-0003-4908-3225НикфороваГ. И.NikiforovaG. I.

SPIN-код: 6617-3730, AuthorID: 395797

г. Санкт-Петербург

Guzel I. Nikiforova — Cand. Sci. (Eng.), Associate Professor, Associate Professor of the Department of “Operations Management”

9 Moskovsky ave., Saint Petersburg, 190031

guzel.spb@mail.ruПетербургский государственный университет путей сообщения Императора Александра I (ПГУПС)РоссияEmperor Alexander I St. Petersburg State Transport University (PGUPS)Russian Federation202216072022117Copyright © Никфорова Г.И., 20222022Никфорова Г.И.Nikiforova G.I.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.bricstransport.ru/jour/article/view/7

Оборот вагона остается ключевым эксплуатационным показателем работы железнодорожного транспорта, характеризующим эффективность деятельности владельца вагонного парка и ОАО «РЖД».

Логистический процесс продвижения грузопотока с участием железнодорожного транспорта также может быть оценен с использованием этого показателя. При определении оборота вагона учитывается продолжительность операций на технических станциях и под грузовыми операциями, время в движении. Все три составляющих времени оборота вагона находятся в области управления и ОАО «РЖД», и операторской компании. Интерес вызывает стык взаимодействия железнодорожного и смежных видов транспорта и путей необщего пользования крупных грузовладельцев. Эффективность такого взаимодействия можно оценить составляющей произведения грузового простоя и коэффициента местной работы в формуле оборота вагона. Проведено исследование оптимального количества вагонов в подаче на пути необщего пользования или портовые пути. Оптимальность количества вагонов в подаче будет определяться минимумом затрат на передвижение вагонов и простой на станционных путях с использованием теории управления запасами. Оценка чувствительности функции затрат позволит установить пределы изменения оптимального количества вагонов в подаче, которое даст возможность минимизировать грузовую составляющую в обороте вагона.

Wagon turnaround remains the key performance indicator of railway transport operations characterizing the efficiency both of a wagon fleet owner and of “Russian Railways” Company (RZD). Freight logistics efficiency in the railway sector can also be assessed using this indicator. For determining the wagon turnaround time, the duration of operations at technical stations, freight handling time and the time in motion are taken into account. “Russian Railways” company and operator companies control the three components of the wagon turnaround time. The synergies of railways, intermodal types of transport, and private railways belonging to major freight owners are of particular interest. Their interaction efficiency can be calculated using the wagon turnaround formula that considers the freight idle time and the local operations factor. The local operations at the station for serving private tracks and port sidings are regulated by a number of documents that determine the procedure for supply and departure of wagons, the number of wagons in supply, the regularity of these operations, the number and series of shunting locomotives, etc. The optimal number of wagons in supply will be determined by the minimum cost of wagon movement and wagon idle time on the station tracks. The calculation of the cost function sensitivity will make it possible to determine the limits in the optimal wagon movement changes.

логистический процесспередача грузопотокаоборот вагонаместная работаоптимальное количество вагонов в подачепути необщего пользованияпортовые путитеория управления запасамифункция затратчувствительность функциивагонный паркlogisticsfreight flow logisticswagon turnaroundlocal operationsoptimal wagon supplyprivate tracksport sidingsinventory management theorycost functionfunction sensitivitywagon fleetReferencesSergeeva T.G. Improvement of private wagons fleet management. Proceedings of Petersburg Transport University. 2019;16(3):449-454. DOI: 10.20295/1815-588X-2019-3-449-454 (In Russ.).Sergeeva T.G. Improvement of private wagons fleet management. Proceedings of Petersburg Transport University. 2019;16(3):449-454. DOI: 10.20295/1815-588X-2019-3-449-454 (In Russ.).Kovalev K.E., Kizlyak O.P., Galkina J.E. Automation of Management Functions of Operational Personnel of Railway Stations. 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). 2019. 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The authors declare that there are no conflicts of interest present.