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Airline planning include complex and structured operations that must be planned in advance in order to exploit the available resources, provide a reliable and competitive service and forecast system's performances. Decisions regarding operations are based ...
We introduce a concept of flexible air transportation system called Clip-Air. It is a modular innovative aircraft. The flexibility provided by Clip-Air is due to the decoupling of load and carrying units. In this paper, we introduce the concept, and analyz ...
We present a model where we integrate schedule design, fleet assignment and demand models to maximize the profit of an airline. The objective of the study is to identify the challenges behind the integration of demand modeling into the optimization model a ...
In this paper, we present an application to the Airline Scheduling Problem (ASP) of the Uncertainty Feature Optimization (UFO) framework which combines both a proactive scheduling algorithm and a reactive recovery algorithm used for re-optimization when di ...
In this paper, we present an application to the Airline Scheduling Problem (ASP) of the Uncertainty Feature Optimization (UFO) framework which combines both a proactive scheduling algorithm and a reactive recovery algorithm used for re-optimization when di ...
In this paper, we consider the gate assignment for a large airline at its hub airport. It is considered to be a highly complex problem with the possibility of application in both planning as well as operations mode. There are various considerations that ar ...
We consider the problem of assigning gates to a large airline at its hub airport in both planning and operations mode. The first objective in planning mode assigns airport gates for a given passenger flow data and pedestrian distances between the gates, su ...
Air transportation in the US is increasingly faced with the problem of airport congestion: airlines tend to over-schedule to attract market share and revenue. Unfortunately, the airlines share a limited resource - airport capacity. The underlying question ...
Uncertainty Feature Optimization is a framework to cope with optimization problems due to noisy data, using an implicit characterazation of the noise. The Aircraft Scheduling Problem (ASP) is a particular case of such problems, where disruptions randomly p ...
Air transport is a fast developing area. Airlines compete for a limited resource, namely airport capacity. The consequence is an increase in airport congestion, which generates huge delays that are enhanced due to delay propagation through the whole networ ...