D.A. Sharipov1

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

The relevance of the study is due to the need to develop operational tools for the revenue management system (RMS) of civil aircraft in the air transportation sector.

Objective – development of an original method for optimizing secondary demand recovery for air tickets and improving the efficiency of forecasting the occupancy of the cabin (or cabin) of an aircraft in the revenue management system (IMS).

The paper presents an original optimization method for secondary demand recovery for opening and closing tariff classes of an aircraft in the civil air transportation sector. The essence of the method lies in the redistribution of demand using a probabilistic fractal parameter. The proposed method provides a smoother regulation by tariff classes of air transportation, helping to reduce the risks of unfilled classes and increase efficiency in the IMS field.

A method has been developed that uses a fractal parameter to smooth the primary demand recovery (initial forecast of cabin occupancy), ensuring effective redistribution of booking occupancy by classes, reducing financial risks.

Sharipov D.A. Smoothing out tariff class protection and secondary recovery in demand. Nonlinear World. 2025. V. 23. № 3. P. 37–44. DOI: https:// doi.org/10.18127/ j20700970-202503-05 (In Russian)

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