D.A. Sharipov1

1 Financial University under the Government of the Russian Federation (Moscow, Russia)
1 dasharipov@fa.ru

The paper investigates modern methods of functional programming in the R language, which allow real-time solving of linear optimization problems of large dimensions for the dynamic management of air transportation revenues. The methodology under consideration can be implemented through the API at the level of the RMS (Revenue Management System) functional computing component of operating airlines and, in fact, is the digitalization of the IMS (Inventory Management System) flight load management optimization.

Sharipov D.A. Information technologies for optimizing large dimensions in revenue management (RMS) air transportation. Information-measuring and Control Systems. 2023. V. 21. № 5. P. 56−62. DOI: https://doi.org/10.18127/j20700814-202305-07 (in Russian)

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