نعيم محسني تنكابني

Nowadays, the aviation industry plays a unique role in transportation, especially passenger transportation. The industry has always been known for its high operating costs and low profit margins. Therefore, airlines have always sought to make better use of their resources for greater benefits. The problems of flight scheduling and fleet assignment, among other planning stages, have the most important effects on determining the profitability and service level of an airline, as well as on the decisions of other planning stages of the airline. In this research, a novel two-stage stochastic mixed integer linear programming model is developed to simultaneously model the schedule design and fleet assignment problems on a weekly time horizon taking into account stochastic travel demands and prices. Due to the fact that flights of different days of a route that have the same flight number per week have homogeneous fleet assigned to them, this homogeneity is considered as a trade-off between profit and heterogeneous penalty in the model. Also, with the aim of creating more connection opportunities for passengers and obtaining a more efficient fleet assignment plan, discrete time windows have been considered for flight times. In this regard and due to marketing issues, flights on different days of a route that have the same flight number per week should have the same flight times. For this purpose, constraints for applying this synchronization in the case of discrete time windows were introduced in the model. Finally, the developed model is implemented and eva‎luated using flight network and fleet information of Mahan Airlines on a subnetwork consisting of 217 flights per week. The results of the eva‎luation of the stochastic model indicate the efficiency of the developed model in simultaneously optimizing the flight schedule and fleet assignment of the airline and creating acceptable benefits having considered uncertain demands and prices.

زمان‌بندي پرواز , تخصيص ناوگان , افق زماني هفتگي , پنجره‌ي زماني , برنامه‌ريزي تصادفي

Airline schedule design , Fleet assignment , Weekly time horizon , Time windows , Stochastic programming

Naeem Mohseny Tonekabony

Dr. Seyed Jafar Sadjadi