This paper investigates effective tools for the development of electronic aircraft comparison systems, a mathematical apparatus for calculating the efficiency of aircraft in an airline’s fleet. A method for optimizing the flight schedule considering the characteristics of the aircraft under full load conditions is proposed. The problem is solved using the simplex algorithm, which iteratively improves the solution until it reaches an optimal solution. This method is efficient in reducing flight delays, improving flight connections, and increasing airline profitability. By considering various factors such as flight times, passenger demand, aircraft availability, and crew schedules, the simplex method can help airlines to create efficient and profitable flight schedules. The benefits of this approach are numerous, including the reduction of flight delays, improved flight connections, and increased profitability. The paper argues that electronic aircraft comparison systems and the simplex algorithm represent a major advance in the field of airline scheduling, offering airlines the opportunity to optimize their operations and better serve their customers.
Optimization Model of Airline Fleet Management Under Conditions of Uncertainty
Lect. Notes in Networks, Syst.
International Workshop on Advances in Civil Aviation Systems Development ; 2023 ; Kyiv, Ukraine May 29, 2023 - May 31, 2023
Proceedings of the International Workshop on Advances in Civil Aviation Systems Development ; Kapitel : 24 ; 311-320
2023-07-21
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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Elsevier | 2017
|
IFA/1 : an interactive airline fleet assignment model.
Interactive airline fleet assignment model
DSpace@MIT | 1981
|Online Contents | 1996
Online Contents | 1994
Online Contents | 1996