Cost Optimization Model for Air Transportation during Multimodal Transportation of Goods

This study focuses on developing a cost optimization model for air transportation during multimodal transportation. Aim. This study is aimed at developing a cost optimization model for air transportation during multimodal transportation of goods that can be practically achieved without much difficulty. Tasks. This study examines the interaction among the participants in transportation and trade during multimodal transportation, notes the principles guiding this interaction, and provides possible cost optimization solutions for air transportation during multimodal transportation of goods. Methods. This study uses general methods of scientific cognition to examine multimodal transportation in various aspects in order to minimize the loss of time and the risk regarding loss, theft, or damage of cargo. Results. Multimodal transportation is becoming increasingly popular in the transportation market as suitable infrastructure for different modes of transportation facilitates the economic growth of regions and the country as a whole. The interaction among participants in international trade and transport during multimodal transportation is examined, and the principles guiding this interaction are noted. A cost optimization model for air transportation during multimodal transportation of goods is developed. Conclusion. The ability to predict and reduce the cost of air transportation during multimodal transportation of goods improves the commercial appeal of the entire process, which is particularly crucial in the face of declining passenger traffic and the shrinking profitability of all participants in the transport industry. The authors propose a cost optimization model for air transportation during multimodal transportation by predicting the optimal arrangement of aircrafts in the airlines. This model analyses a linear programmig problem, where operating costs serve as the optimality criterion.

transportation, multimodal transportation operator, cost optimization, air transport, airline company policy, перевозка, оператор мультимодальной перевозки, оптимизация затрат, воздушный транспорт, политика авиакомпаний

1. Проблемы развития экономики и общества / М. А. Ермолина, И. В. Кирьянов, Е. Д. Кочегарова и др. Saint-Louis, MO: Publishing House «Science & Innovation Center», 2013. 256 с.

2. Gubenko A. V., Ksenofontova T. Y. Strategy to Increase the State`s Role in the Business Process Management on the Airport Service Market // Journal of Internet Banking and Commerce. 2015. Vol. 20, N S1: 005.

3. Сычева Е. Г., Ксенофонтова Т. Ю., Губенко А. В. Направления и особенности развития системы воздушного транспорта России: региональный аспект // Экономика и управление. 2015. № 3 (113). С. 11-17.

4. Перевозки грузов и почты // Официальный сайт Федерального агентства воздушного транспорта (Росавиация): [Электронный ресурс]. Режим доступа: http://www.favt.ru/dejatelnost-vozdushnye-perevozki-perevozki-gruzov-i-pochty/.

5. Ксенофонтова Т. Ю., Сычева Е. Г. Факторы влияния на степень эффективности экономического сотрудничества субъектов рынка воздушных перевозок // Экономика и управление. 2015. № 4 (114). С. 30-37.

6. Губенко А. В., Ксенофонтова Т. Ю., Зайцева И. В., Зернова Е. П. Экономическая теория управления процессом взаимодействия авиакомпании с субъектами рынка. Краснодар: ИД «ХОРС», 2015. 68 с.

7. Ксенофонтова Т. Ю., Неронов Ю. И. Взаимодействие науч- ных коллективов с инвесторами в современных условиях // Известия высших учебных заведений. Приборостроение. 2005. Т. 48, № 7. С. 67-70.