As the air traffic increases at a hub airport, some flights cannot land or depart at their preferred target time. This event happens because the airport runways become occupied to near their capacity. It results in extra costs for both passengers and airlines because of the loss of connecting flights or more waiting, more fuel consumption, rescheduling crew members, etc. Hence, devising an appr...

Airline maintenance task scheduling takes place in a disruptive environment. The stochastic arrival of corrective tasks and changes both fleet resource availability require schedules to be continuously adjusted. An optimal schedule ensures that all are executed before their due date an efficient (at minimum use ground-time) stable (limited number changes) manner. This paper is the first study a...

Aircraft maintenance planning and scheduling constitute planning, control and execution of materials (spare parts), operations (inspection, disassembly and assembly activities) and resources (labour, machines, transport equipment, etc.). This is a complex problem due to large number of components involved at various planning and execution levels, and the size/nature of resource-intensive mainte...

Traditional methods model the billion-dollar airline crew scheduling problem as deterministic and do not explicitly include information on potential disruptions. Unfortunately, the effort used to optimize crew schedules and reduce crew costs is often wasted as flight schedules are often disrupted. Consequently, airlines spend a great deal of time and money optimizing crew schedules in the plann...

Most flight delays are created by imbalances between demand and capacity at the busiest airports. Absent large increases in capacity, airport congestion can only be mitigated through scheduling interventions or improved capacity utilization. This paper presents an integrated approach that jointly optimizes the airport’s flight schedule at the strategic level and the utilization of airport capac...

Airline crew scheduling is a very important part of the operational planning commercial airlines, but it linear integer programming problem with multi-constraints. Traditionally, airline determined by solving pairing (CPP) and rostering (CRP), sequentially. In this paper, we propose new heuristic solver based on parallel genetic algorithm an innovative algorithm, which improves traditional inte...

In addition to the increasing passenger demand, airline frequency competition is another reason for the growing demand for airport resources. By providing more flight frequency, an airline attracts more passengers. As a result, demand for flight operations often exceeds capacity at congested airports, resulting in delays and disruptions. At some congested airports, the limited airport capacity ...

In this paper, we consider the recovery of an airline schedule after an unforeseen event called disruption, making the planned schedule infeasible. We present a modeling framework that allows the consideration of operational constraints within a Column Generation (CG) scheme. We introduce the general concept of recovery network, generated for each individual unit of the problem, and show how un...

Flight safety reports from different sources indicate that the proportion of accidents caused by flight fatigue accounts for 6-11% all types accidents. Current regulations in civil aviation industry across world generally emphasize length working hours rather than influences circadian rhythm disorders. Based on an analysis mission data 567 pilots 2019, which highlighted associations between dis...