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NETWORK MODELING OF THE TANKERS CHARTERING PROCESS AS AN ELEMENT OF COMMERCIAL WORK DIGITALIZATION IN WATER TRANSPORT

https://doi.org/10.21821/2309-5180-2020-12-3-504-514

Abstract

The emergence of “Industrialization 4.0” concept in Germany has received wide interest from European countries and Russia. The idea of creating a suitable digital platform that unites all sectors of the country economy in a single place is promising for the domestic transport industry development. In particular, the digitalization of chartering, operation and maintenance of the fleet within a single electronic platform could reduce the time spent on the certain operations, improve communication between shipowners and charterers, as well as between departments and technical services of the transport company, and convert most of the documentation to electronic format, reduce part of the company costs. In order to realize this idea, it is necessary to have a well-designed schedule of the decision chain of not only the office personnel of the shipowning company, but also of all structures involved in sea and water transport.In the framework of this paper, applying a network modeling method to build a model of the decisions sequence of office workers in water transport is proposed. For this, it is proposed to consider one of the commercial processes in sea and river transport, namely, chartering of tonnage. So, for the purposes of the study, a network diagram of the decision chain when the charter is being agreed and made is built, a series of experiments showing the rules of changing the temporal values of this process is carried out, an analysis of the reasons affecting these changes is made. Based on the work results, a forecast regarding changes in document management, in operational and communication processes after the electronic platforms introduction in the work of freight departments of the water transport enterprises is made.

About the Author

M. D. Diakonova
Admiral Makarov State University of Maritime and Inland Shipping
Russian Federation


References

1. Распоряжение Правительства РФ от 28 июля 2017 года № 1632-р. «Об утверждении программы «Цифровая экономика Российской Федерации» [Электронный ресурс]. - Режим доступа: http://government.ru/docs/28653/ (дата обращения: 20.02.2020).

2. Губернаторов С.С. Навигация будущего - стратегическая программа e-Navigation / С. С. Губернаторов // Транспорт Российской Федерации. - 2014. - № 1. - С. 52-56.

3. Кузнецов А. Л. Направления цифровизации транспортной отрасли / А. Л. Кузнецов, А. В. Кириченко, В. Н. Щербакова-Слюсаренко // Вестник Государственного университета морского и речного флота имени адмирала С. О. Макарова. - 2018. - Т. 10. - № 6. - С. 1179-1190. DOI: 10.21821/2309-5180-2018-10-6-1179-1190.

4. Yang C. S. Maritime shipping digitalization: Blockchain-based technology applications, future improvements, and intention to use / C. S. Yang // Transportation Research Part E: Logistics and Transportation Review. - 2019. - Vol. 131. - Pp. 108-117. DOI: 10.1016/j.tre.2019.09.020.

5. Clott C. Sustainable blockchain technology in the maritime shipping industry / C. Clott, B. Hartman, B. Beidler // Maritime Supply Chains; edited by T. Vanelslander, C. Sys. - Elsevier Inc., 2020. - Pp. 207-228. DOI: 10.1016/B978-0-12-818421-9.00011-2.

6. Bavassano G. Blockchain: How shipping industry is dealing with the ultimate technological leap / G. Bavassano, C. Ferrari, A. Tei // Research in Transportation Business & Management. - 2020. - № 100428. DOI: 10.1016/j.rtbm.2020.100428. (In press).

7. Гозбенко В. Е. Автоматизация отдельных операций перевозочного процесса с целью обеспечения достаточных условий для оптимального функционирования «цифрового» транспорта и логистики / В. Е. Гозбенко, В. А. Оленцевич, Ю. И. Белоголов // Современные технологии. Системный анализ. Моделирование. - 2018. - № 4 (60). - С. 125-132. DOI: 10.26731/1813-9108.2018.4(60).125-132.

8. Сахаров В. В. Автоматизация поиска оптимальных маршрутов и грузовых потоков в транспортных сетях средствами целочисленного линейного программирования / В. В. Сахаров, И. А. Сикарев, А. А. Чертков // Вестник Государственного университета морского и речного флота имени адмирала С. О. Макарова. - 2018. - Т. 10. - № 3. - С. 647-657. DOI: 10.21821/2309-5180-2018-10-3-647-657.

9. Zatsarinnyy A.A. Model of a Prospective Digital Platform to Consolidate the Resources of Economic Activity in the Digital Economy / A. A. Zatsarinnyy, A. P. Shabanov // Procedia Computer Science. - 2019. - Vol. 150. - Pp. 552-557. DOI: 10.1016/j.procs.2019.02.092.

10. Genzorova T. How digital transformation can influence business model, Case study for transport industry / T. Genzorova, T. Corejova, N. Stalmasekova // Transportation Research Procedia. - 2019. - Vol. 40. - Pp. 1053-1058. DOI: 10.1016/j.trpro.2019.07.147.

11. Бурыкин А. А. Экономико-математические методы и модели в управлении водным транспортом: сетевое планирование: учеб. пособие / А. А. Бурыкин [и др.] ; Под ред. канд. воен. наук, доц. А. А. Бурыкина. - СПб.: Изд-во ГУМРФ имени адмирала С. О. Макарова, 2015. - 220 с.

12. Вентцель Е. С. Теория вероятностей / Е. С. Вентцель. - М.: Юстиция, 2018. - 664 с.


Review

For citations:


Diakonova M.D. NETWORK MODELING OF THE TANKERS CHARTERING PROCESS AS AN ELEMENT OF COMMERCIAL WORK DIGITALIZATION IN WATER TRANSPORT. Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova. 2020;12(3):504-514. (In Russ.) https://doi.org/10.21821/2309-5180-2020-12-3-504-514

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ISSN 2309-5180 (Print)
ISSN 2500-0551 (Online)